CN104902143A - Resolution-ratio-based image de-noising method and device - Google Patents
Resolution-ratio-based image de-noising method and device Download PDFInfo
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Abstract
The embodiment of the invention discloses a resolution-ratio-based image de-noising method and a resolution-ratio-based image de-noising device, wherein the method comprises the steps as follows: obtaining a brightness value of current environment when starting a camera; obtaining a first resolution ratio and a second resolution ratio, which correspond to a collecting image of the camera, wherein the first resolution ratio is the resolution ratio output by a camera sensor, and the second resolution ratio is the resolution ratio needed when outputting the collecting image; obtaining a target de-noising intensity parameter of the collecting image based on the brightness value of the current environment, the first resolution ratio and the second resolution ratio; de-noising the collecting image by using the target de-noising intensity parameter, and outputting the de-noised collecting image. The method and the device of the embodiment of the invention could improve the quality of output image and the picture effect of the output image.
Description
Technical field
The present invention relates to technical field of image processing, particularly relate to a kind of image de-noising method based on resolution and device.
Background technology
At present, mobile phone camera is when carrying out denoising to the image gathered, and only determine the removing-noise strength of this denoising according to current environmental light brightness, environmental light brightness is darker, and removing-noise strength is stronger.But in actual applications, when the resolution that camera application output image needs is lower, because output image resolution is low, noise is being erased to during this image sampling.Now, when current environmental light brightness is darker, if still adopt larger removing-noise strength to carry out denoising to image, then the image frame of output can be caused very fuzzy, make the picture effect of output image poor.
Summary of the invention
Embodiments provide a kind of image de-noising method based on resolution and device, the quality of output image can be promoted, improve the picture effect of output image.
The embodiment of the invention discloses a kind of image de-noising method based on resolution, comprising:
When opening camera, obtain current environmental light brightness value;
Obtain first resolution corresponding to the collection image of described camera and second resolution, wherein, described first resolution is the resolution that camera sensing device exports, the resolution needed when described second resolution is and exports described collection image;
Based on described current environmental light brightness value, described first resolution and described second resolution, obtain the target removing-noise strength parameter to described collection image;
Use described target removing-noise strength parameter to carry out denoising to described collection image, export the collection image after described denoising.
Optionally, described based on described current environmental light brightness value, described first resolution and described second resolution, obtain the target removing-noise strength parameter to described collection image, comprising:
According to described current environmental light brightness value, determine the first removing-noise strength parameter to described collection image;
Calculate the ratio of described first resolution and described second resolution;
According to described ratio, adjust described first removing-noise strength parameter, obtain target removing-noise strength parameter.
Optionally, described ratio is the quotient that described second resolution obtains divided by described first resolution, and removing-noise strength corresponding to described target removing-noise strength parameter is directly proportional to described ratio.
Optionally, described ratio is the quotient that described first resolution obtains divided by described second resolution, and the removing-noise strength that described target removing-noise strength parameter is corresponding and described ratio are inversely proportional to.
Optionally, described current environmental light brightness value comprises the photosensitivity ISO value of current environment; Described according to described current environmental light brightness value, determine, to the first removing-noise strength parameter of described collection image, to comprise:
The ISO value of described current environment and the ISO value in the ISO interval stored are compared, judges whether the ISO value of described current environment is in described ISO interval range;
If the ISO value of described current environment is in described ISO interval range, then interval for described ISO corresponding removing-noise strength parameter is defined as the first removing-noise strength parameter to described collection image.
Optionally, described based on described current environmental light brightness value, described first resolution and described second resolution, obtain the target removing-noise strength parameter to described collection image, comprising:
From the parameter configuration list stored, find out the removing-noise strength parameter corresponding with described current environmental light brightness value, described first resolution and described second resolution, described parameter configuration list comprises the mapping relations of different environment bright angle value, first resolution and second resolution;
The described removing-noise strength parameter found out is defined as the target removing-noise strength parameter of described collection image.
Correspondingly, the embodiment of the invention also discloses a kind of image denoising device, comprising:
First acquisition module, for when opening camera, obtains current environmental light brightness value;
Second acquisition module, the first resolution corresponding for the collection image obtaining described camera and second resolution, wherein, described first resolution is the resolution that camera sensing device exports, the resolution needed when described second resolution is and exports described collection image;
Parameter determination module, for based on described current environmental light brightness value, described first resolution and described second resolution, obtains the target removing-noise strength parameter to described collection image;
Image processing module, the described target removing-noise strength parameter obtained for using described parameter determination module carries out denoising to described collection image, exports the collection image after described denoising.
Optionally, described parameter determination module comprises:
First determining unit, for according to described current environmental light brightness value, determines the first removing-noise strength parameter to described collection image;
Computing unit, for calculating the ratio of described first resolution and described second resolution;
Parameter adjustment unit, for the described ratio calculated according to described computing unit, adjusts described first removing-noise strength parameter, obtains target removing-noise strength parameter.
Optionally, described ratio is the quotient that described second resolution obtains divided by described first resolution, and removing-noise strength corresponding to described target removing-noise strength parameter is directly proportional to described ratio.
Optionally, described ratio is the quotient that described first resolution obtains divided by described second resolution, and the removing-noise strength that described target removing-noise strength parameter is corresponding and described ratio are inversely proportional to.
Optionally, described current environmental light brightness value comprises the photosensitivity ISO value of current environment; Described first determining unit specifically for:
The ISO value of described current environment and the ISO value in the ISO interval stored are compared, judges whether the ISO value of described current environment is in described ISO interval range; If the ISO value of described current environment is in described ISO interval range, then interval for described ISO corresponding removing-noise strength parameter is defined as the first removing-noise strength parameter to described collection image.
Optionally, described parameter determination module comprises:
Search unit, for finding out the removing-noise strength parameter corresponding with described current environmental light brightness value, described first resolution and described second resolution from the parameter configuration list stored, described parameter configuration list comprises the mapping relations of different environment bright angle value, first resolution and second resolution;
Second determining unit, for searching described the target removing-noise strength parameter that described removing-noise strength parameter that unit finds out is defined as described collection image.
The embodiment of the present invention can when opening camera, by obtaining current environmental light brightness value, the first resolution that camera sensing device exports and the second resolution that output image needs, determine to obtain the removing-noise strength parameter to current acquired image, namely can adjust in conjunction with the resolution sizes required for output image the removing-noise strength that present image is adopted, thus when avoiding that needed for output image, resolution is lower, the removing-noise strength only determined according to current environment parameter carries out denoising to image, and the problem that the image frame of the output caused is fuzzy, make it possible to the quality promoting output image, improve the picture effect of output image.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, be briefly described to the accompanying drawing used required in embodiment below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of a kind of image de-noising method based on resolution that the embodiment of the present invention provides;
Fig. 2 is the schematic flow sheet of the another kind that provides of the embodiment of the present invention based on the image de-noising method of resolution;
Fig. 3 is another schematic flow sheet based on the image de-noising method of resolution that the embodiment of the present invention provides;
Fig. 4 is the structural representation of a kind of image denoising device that the embodiment of the present invention provides;
Fig. 5 is the structural representation of the another kind of image denoising device that the embodiment of the present invention provides;
Fig. 6 is the structural representation of another image denoising device that the embodiment of the present invention provides;
Fig. 7 is the structural representation of a kind of terminal that the embodiment of the present invention provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The embodiment of the invention discloses a kind of image de-noising method based on resolution and device, the quality of output image can be promoted, improve the picture effect of output image.Below describe in detail respectively.
Refer to Fig. 1, Fig. 1 is the schematic flow sheet of a kind of image de-noising method based on resolution that the embodiment of the present invention provides.Concrete, as shown in Figure 1, can should comprise the following steps based on the image de-noising method of resolution:
S101: when opening camera, obtains current environmental light brightness value.
It should be noted that, the described method of the embodiment of the present invention can be applied particularly to smart mobile phone (as Android phone, iOS mobile phone etc.), panel computer, mobile internet device (Mobile Internet Devices, MID), personal digital assistant (Personal Digital Assistant, PAD) etc. are provided with in the terminal of camera application.Wherein, described current environmental light brightness value can be specially the photosensitivity ISO value under current environment.
S102: obtain first resolution corresponding to the collection image of described camera and second resolution, wherein, described first resolution is the resolution that camera sensing device exports, the resolution needed when described second resolution is and exports described collection image.
Concrete, in general, the resolution that camera sensing device sensor exports and first resolution are fixing resolution, such as 3k*4k=1200w (pixel), and the resolution required for image that camera application exports and second resolution many times do not need to reach this 1200w, such as only need 2k*3k=600w (pixel).In order to ensure the picture effect of output image, according to current environmental light brightness value, and such as can determine the removing-noise strength parameter of collection image being carried out to denoising further combined with the ratio of this first resolution and second resolution in conjunction with this first resolution and second resolution.
S103: based on described current environmental light brightness value, described first resolution and described second resolution, obtains the target removing-noise strength parameter to described collection image.
As the optional execution mode of one, this target removing-noise strength parameter can be that the current environmental light brightness value according to this acquisition, described first resolution and described second resolution calculate.Namely, described based on described current environmental light brightness value, described first resolution and described second resolution, obtain the target removing-noise strength parameter to described collection image, can be specially: according to described current environmental light brightness value, determine the first removing-noise strength parameter to described collection image; Calculate the ratio of described first resolution and described second resolution; According to described ratio, adjust described first removing-noise strength parameter, obtain target removing-noise strength parameter.
As the optional execution mode of one, this target removing-noise strength parameter can also be find out from preset parameter configuration list according to the environment bright angle value stored, first resolution and the mapping relations between second resolution and removing-noise strength parameter.Namely, described based on described current environmental light brightness value, described first resolution and described second resolution, obtain the target removing-noise strength parameter to described collection image, can also be specially: from the parameter configuration list stored, find out the removing-noise strength parameter corresponding with described current environmental light brightness value, described first resolution and described second resolution, described parameter configuration list comprises the mapping relations of different environment bright angle value, first resolution and second resolution; The described removing-noise strength parameter found out is defined as the target removing-noise strength parameter of described collection image.
S104: use described target removing-noise strength parameter to carry out denoising to described collection image, export the collection image after described denoising.
In specific embodiment, after obtaining target removing-noise strength parameter according to this current environmental light brightness value, first resolution and second resolution, image denoising process can be carried out based on this target removing-noise strength parameter, thus obtain the image of the required resolution sizes of current shooting application.
Implementing the embodiment of the present invention can when opening camera, by obtaining current environmental light brightness value, the first resolution that camera sensing device exports and the second resolution that output image needs, determine to obtain the removing-noise strength parameter to current acquired image, namely can adjust in conjunction with the resolution sizes required for output image the removing-noise strength that present image is adopted, thus when avoiding that needed for output image, resolution is lower, the removing-noise strength only determined according to current environment parameter carries out denoising to image, and the problem that the image frame of the output caused is fuzzy, make it possible to the quality promoting output image, improve the picture effect of output image.
Further, refer to Fig. 2, Fig. 2 is the schematic flow sheet of the another kind that provides of the embodiment of the present invention based on the image de-noising method of resolution.Concrete, as shown in Figure 2, can should comprise the following steps based on the image de-noising method of resolution:
S201: when opening camera, obtains current environmental light brightness value.
In specific embodiment, open camera application user, when calling camera collection image, can trigger and obtain current environmental light brightness value, to determine the current default removing-noise strength parameter to this collection image according to this current environmental light brightness value, i.e. the first removing-noise strength parameter.
S202: obtain first resolution corresponding to the collection image of described camera and second resolution, wherein, described first resolution is the resolution that camera sensing device exports, the resolution needed when described second resolution is and exports described collection image.
S203: according to described current environmental light brightness value, determines the first removing-noise strength parameter to described collection image.
In an alternate embodiment of the invention, described current environmental light brightness value can comprise the photosensitivity ISO value of current environment; Described according to described current environmental light brightness value, determine the first removing-noise strength parameter to described collection image, can be specially: the ISO value of described current environment and the ISO value in the ISO interval stored are compared, judges whether the ISO value of described current environment is in described ISO interval range; If the ISO value of described current environment is in described ISO interval range, then interval for described ISO corresponding removing-noise strength parameter is defined as the first removing-noise strength parameter to described collection image.Concrete, divide after ISO value under varying environment can being sorted according to order from high to low or from low to high and obtain multiple ISO interval, each ISO interval comprises multiple ISO value, and be each ISO interval association one group of removing-noise strength parameter, often organize the corresponding removing-noise strength of removing-noise strength parameter, to use this removing-noise strength parameter, denoising is carried out to the image of camera collection.After the ISO value acquiring current environment, can determine that the ISO at this current ISO value place is interval, thus determine the removing-noise strength parameter that this current ISO value is corresponding, i.e. the first removing-noise strength parameter, carries out denoising to use this first removing-noise strength parameter to camera collection image.
S204: the ratio calculating described first resolution and described second resolution.
S205: according to described ratio, adjusts described first removing-noise strength parameter, obtains target removing-noise strength parameter.
As the optional execution mode of one, the quotient that described ratio can obtain divided by described first resolution for described second resolution, then the removing-noise strength that described target removing-noise strength parameter is corresponding is directly proportional to described ratio.
Concrete, suppose that the resolution that camera sensing device sensor exports and first resolution are x_output, y_output, and the resolution needed during camera application output image and second resolution are x_need, y_need, the then described ratio quotient that can obtain divided by first resolution for this second resolution, i.e. this ratio r atio=(x_need*y_need)/(x_output*y_output).When ratio is less, when the image of image processor ISP to camera collection of terminal does sample process, noise is smeared more severe, and therefore, the removing-noise strength (denoise_strength) of this collection image being carried out to denoising just should be less.Now, removing-noise strength parameter to image can be adjusted further according to this ratio r atio, such as can determine target removing-noise strength according to denoise_strength1*ratio, wherein, this denoise_strength1 is removing-noise strength corresponding to the first removing-noise strength parameter.That is, the resolution needed when output image is consistent with the resolution that sensor exports, namely take pictures need size identical with sensor Output Size time, the removing-noise strength parameter of acquiescence i.e. the first removing-noise strength parameter can be adopted to carry out image denoising process, and the reduction of resolution along with these needs, ratio r atio reduces, image denoising intensity parameters can be readjusted, reduce the removing-noise strength to this collection image in proportion, obtain target removing-noise strength as denoise_strength=denoise_strength1*ratio, namely the removing-noise strength that this target removing-noise strength parameter is corresponding is directly proportional to described ratio.For example, work as x_output=3k, y_output=4k, x_need=2k, y_need=3k, namely the resolution (first resolution) that sensor exports is 3k*4k=1200w, resolution (second resolution) required for camera application output image is 2k*3k=600w, then ratio=600w/1200w=0.5, the then acquiescence removing-noise strength parameter (i.e. the first removing-noise strength parameter) determined according to current environmental light brightness value of adjustable, obtain target removing-noise strength parameter, removing-noise strength corresponding to this target removing-noise strength parameter is made to be the half of removing-noise strength corresponding to this acquiescence removing-noise strength parameter, to realize based on the removing-noise strength of image resolution ratio reduction to this camera collection image.
As the optional execution mode of one, the quotient that described ratio can also obtain divided by described second resolution for described first resolution, then the removing-noise strength that described target removing-noise strength parameter is corresponding and described ratio are inversely proportional to.
Concrete, the ratio of this first resolution and second resolution can also be the quotient that this first resolution obtains divided by described second resolution, i.e. ratio r atio=(x_output*y_output)/(x_need*y_need).Correspondingly, can determine target removing-noise strength according to denoise_strength1/ratio, wherein, this denoise_strength1 is removing-noise strength corresponding to the first removing-noise strength parameter.That is, when the resolution needed when output image is consistent with the resolution that sensor exports, the removing-noise strength parameter of acquiescence i.e. the first removing-noise strength parameter can be adopted to carry out image denoising process, and along with the reduction of this second resolution, ratio r atio increases, image denoising intensity parameters can be readjusted, reduce the removing-noise strength to this collection image in proportion, obtain target removing-noise strength as denoise_strength=denoise_strength1/ratio, the removing-noise strength that namely this target removing-noise strength parameter is corresponding and described ratio are inversely proportional to.
S206: use described target removing-noise strength parameter to carry out denoising to described collection image, export the collection image after described denoising.
In specific embodiment, removing-noise strength parameter i.e. the first removing-noise strength parameter obtaining current default is being determined according to current environmental light brightness value, and according to the ratio of this first resolution and second resolution, this first removing-noise strength parameter is adjusted, after obtaining final target removing-noise strength parameter, image denoising process can be carried out based on this target removing-noise strength parameter, thus obtain the image of resolution sizes needed for camera application.
Further, after exporting the collection image after described denoising, also can receive the image viewing instruction that user operation target button triggers; Export for pointing out the information inputting information to be verified; Receive the information to be verified of information input; If verify, information to be verified is consistent with default authorization information, then response image checks instruction, output image.Concrete, after terminal receives the image viewing instruction that user operation target button triggers, terminal is exportable for pointing out the information inputting information to be verified; And terminal can export the information input port to be verified for inputting information to be verified.Wherein, this information to be verified can include but not limited to any one and several combinations in password to be verified, finger print information to be verified, shape of face information to be verified, iris information to be verified, retinal information to be verified and voiceprint to be verified.This default authorization information pre-set can include but not limited to default authentication password, preset checking finger print information, preset checking shape of face information, preset checking iris information, preset checking retinal information and preset any one and several combinations in checking voiceprint.
In specific embodiment, above-mentioned default authorization information can comprise fingerprint string information and input time corresponding to each fingerprint; Correspondingly, verify that whether information to be verified is consistent with default authorization information can comprise the following steps:
Whether checking fingerprint string is identical with the fingerprint string that default authorization information comprises, and whether the difference of the input time of identical fingerprints is all less than preset value, if checking fingerprint string is identical with the fingerprint string that default authorization information comprises, and the difference of the input time of identical fingerprints is all less than preset value, so can verify that information to be verified is consistent with default authorization information; Otherwise, verify information to be verified and default authorization information inconsistent.Wherein, by implementing this execution mode, can prevent disabled user from terminal, arbitrarily checking the image that terminal taking obtains, thus can effectively prevent terminal from wantonly being operated by disabled user.
In embodiments of the present invention, when starting camera, the removing-noise strength parameter i.e. first removing-noise strength parameter of acquiescence is determined by obtaining current environmental light brightness value, and pass through the ratio calculating the first resolution of camera sensing device output and the second resolution of output image needs, adjust based on the acquiescence removing-noise strength parameter of this ratio to current acquired image, thus finally determine the removing-noise strength parameter of applicable current acquired image, namely can adjust in conjunction with the resolution sizes required for output image the removing-noise strength that present image is adopted, thus when avoiding that needed for output image, resolution is lower, the removing-noise strength only determined according to current environment parameter carries out denoising to image, and the problem that the image frame of the output caused is fuzzy, the quality of output image can be promoted, improve the picture effect of output image.
Further, refer to Fig. 3, Fig. 3 is another schematic flow sheet based on the image de-noising method of resolution that the embodiment of the present invention provides.Concrete, as shown in Figure 3, can should comprise the following steps based on the image de-noising method of resolution:
S301: when opening camera, obtains current environmental light brightness value.
Concrete, described current environmental light brightness value can be specially the photosensitivity ISO value under current environment.
S302: obtain first resolution corresponding to the collection image of described camera and second resolution, wherein, described first resolution is the resolution that camera sensing device exports, the resolution needed when described second resolution is and exports described collection image.
S303: find out the removing-noise strength parameter corresponding with described current environmental light brightness value, described first resolution and described second resolution from the parameter configuration list stored.
Wherein, described parameter configuration list comprises the mapping relations of different environment bright angle value, first resolution and second resolution.
S304: the target removing-noise strength parameter described removing-noise strength parameter found out being defined as described collection image.
In specific embodiment, different environment bright angle value, first resolution and second resolutions and the removing-noise strength parameter of correspondence thereof can be obtained respectively, and by the removing-noise strength parameter of this environment bright angle value, first resolution and second resolution and correspondence thereof, and the mapping relations between each parameter are stored in preset parameter configuration list, namely this parameter configuration list comprises the mapping relations of many group environment bright angle value, first resolution and second resolution and removing-noise strength parameter.After acquiring current environmental light brightness value, first resolution and second resolution, can using this current environmental light brightness value, first resolution and second resolution as index, in preset parameter configuration list, find out the removing-noise strength parameter corresponding with this current environmental light brightness value, first resolution and second resolution, thus according to the removing-noise strength parameter that this finds out, denoising is carried out to image.
It should be noted that, in this parameter configuration list, can be each group environment bright angle value, first resolution and the corresponding one group of removing-noise strength parameter of second resolution, or many group environment bright angle value, first resolution and the corresponding one group of removing-noise strength parameter of second resolution, the embodiment of the present invention does not limit.
S305: use described target removing-noise strength parameter to carry out denoising to described collection image, export the collection image after described denoising.
In embodiments of the present invention, when starting camera, by obtaining current environmental light brightness value, the first resolution that camera sensing device exports and the second resolution that output image needs, and find out and this current environmental light brightness value from preset parameter configuration list, first resolution and removing-noise strength parameter corresponding to second resolution are as the removing-noise strength parameter to current acquired image, namely can determine in conjunction with the resolution sizes required for output image the removing-noise strength that present image is adopted, when avoiding that needed for output image, resolution is lower, the removing-noise strength only determined according to current environment parameter carries out denoising to image, and the problem that the image frame of the output caused is fuzzy, the quality of output image can be promoted, improve the picture effect of output image.
Refer to Fig. 4, Fig. 4 is the structural representation of a kind of image denoising device that the embodiment of the present invention provides.Concrete, as shown in Figure 4, the described image denoising device of the embodiment of the present invention can comprise the first acquisition module 11, second acquisition module 12, parameter determination module 13 and image processing module 14.Wherein,
Described first acquisition module 11, for when opening camera, obtains current environmental light brightness value.
It should be noted that, the described device of the embodiment of the present invention specifically can be arranged at smart mobile phone (as Android phone, iOS mobile phone etc.), panel computer, MID, PAD etc. are provided with in the terminal of camera application.
Described second acquisition module 12, the first resolution corresponding for the collection image obtaining described camera and second resolution, wherein, described first resolution is the resolution that camera sensing device exports, the resolution needed when described second resolution is and exports described collection image.
Described parameter determination module 13, for based on described current environmental light brightness value, described first resolution and described second resolution, obtains the target removing-noise strength parameter to described collection image.
Optionally, this target removing-noise strength parameter can be that the current environmental light brightness value according to this acquisition, described first resolution and described second resolution calculate.
Optionally, this target removing-noise strength parameter can also be find out from preset parameter configuration list according to the environment bright angle value stored, first resolution and the mapping relations between second resolution and removing-noise strength parameter.
Described image processing module 14, the described target removing-noise strength parameter obtained for using described parameter determination module 13 carries out denoising to described collection image, exports the collection image after described denoising.
In specific embodiment, after parameter determination module 13 acquires target removing-noise strength parameter according to this current environmental light brightness value, first resolution and second resolution, image processing module 14 can carry out image denoising process based on this target removing-noise strength parameter, thus obtains the image of the required resolution sizes of current shooting application.
Implementing the embodiment of the present invention can when opening camera, by obtaining current environmental light brightness value, the first resolution that camera sensing device exports and the second resolution that output image needs, determine to obtain the removing-noise strength parameter to current acquired image, namely can adjust in conjunction with the resolution sizes required for output image the removing-noise strength that present image is adopted, thus when avoiding that needed for output image, resolution is lower, the removing-noise strength only determined according to current environment parameter carries out denoising to image, and the problem that the image frame of the output caused is fuzzy, make it possible to the quality promoting output image, improve the picture effect of output image.
Further, refer to Fig. 5, Fig. 5 is the structural representation of the another kind of image denoising device that the embodiment of the present invention provides.Concrete, as shown in Figure 5, the first acquisition module 11, second acquisition module 12 of the image denoising device of Fig. 4 that the described device of the embodiment of the present invention can be above-mentioned, parameter determination module 13 and image processing module 14.Further, in embodiments of the present invention, described parameter determination module 13 can specifically comprise:
First determining unit 131, for according to described current environmental light brightness value, determines the first removing-noise strength parameter to described collection image;
Computing unit 132, for calculating the ratio of described first resolution and described second resolution;
Parameter adjustment unit 133, for the described ratio calculated according to described computing unit 132, adjusts described first removing-noise strength parameter, obtains target removing-noise strength parameter.
In specific embodiment, camera application is opened user, when calling camera collection image, the first acquisition module 11 can be triggered and obtain current environmental light brightness value, then the first determining unit 131 can determine current default removing-noise strength parameter to this collection image, i.e. the first removing-noise strength parameter according to this current environmental light brightness value.
Optionally, the quotient that described ratio can obtain divided by described first resolution for described second resolution, then the removing-noise strength that described target removing-noise strength parameter is corresponding is directly proportional to described ratio.
Concrete, suppose that the resolution that camera sensing device sensor exports and first resolution are x_output, y_output, and the resolution needed during camera application output image and second resolution are x_need, y_need, the then described ratio quotient that can obtain divided by first resolution for this second resolution, i.e. this ratio r atio=(x_need*y_need)/(x_output*y_output).When ratio is less, when the image of image processor ISP to camera collection of terminal does sample process, noise is smeared more severe, therefore, image processing module 14 removing-noise strength (denoise_strength) of denoising is carried out to this collection image just should be less.Namely, this ratio r atio that parameter adjustment unit 133 can calculate according to computing unit 132 adjusts the removing-noise strength parameter to image further, such as parameter adjustment unit 133 can determine target removing-noise strength according to denoise_strength1*ratio, wherein, this denoise_strength1 is removing-noise strength corresponding to the first removing-noise strength parameter.That is, the resolution needed when output image is consistent with the resolution that sensor exports, namely take pictures need size identical with sensor Output Size time, parameter adjustment unit 133 can adopt the removing-noise strength parameter of acquiescence i.e. the first removing-noise strength parameter to carry out image denoising process, and the reduction of resolution along with these needs, ratio r atio reduces, parameter adjustment unit 133 can readjust image denoising intensity parameters, reduce the removing-noise strength to this collection image in proportion, obtain target removing-noise strength as denoise_strength=denoise_strength1*ratio, namely the removing-noise strength that this target removing-noise strength parameter is corresponding is directly proportional to described ratio.
Optionally, the quotient that described ratio can also obtain divided by described second resolution for described first resolution, then the removing-noise strength that described target removing-noise strength parameter is corresponding and described ratio are inversely proportional to.
Concrete, the ratio of this first resolution and second resolution can also be the quotient that this first resolution obtains divided by described second resolution, i.e. ratio r atio=(x_output*y_output)/(x_need*y_need).Correspondingly, parameter adjustment unit 133 can determine target removing-noise strength according to denoise_strength1/ratio, and wherein, this denoise_strength1 is removing-noise strength corresponding to the first removing-noise strength parameter.That is, when the resolution needed when output image is consistent with the resolution that sensor exports, parameter adjustment unit 133 can adopt the removing-noise strength parameter of acquiescence i.e. the first removing-noise strength parameter to carry out image denoising process, and along with the reduction of this second resolution, ratio r atio increases, parameter adjustment unit 133 can readjust image denoising intensity parameters, reduce the removing-noise strength to this collection image in proportion, obtain target removing-noise strength as denoise_strength=denoise_strength1/ratio, namely the removing-noise strength that this target removing-noise strength parameter is corresponding and described ratio are inversely proportional to.
Further alternative, in embodiments of the present invention, described current environmental light brightness value comprises the photosensitivity ISO value of current environment; Described first determining unit 131 can be specifically for:
The ISO value of described current environment and the ISO value in the ISO interval stored are compared, judges whether the ISO value of described current environment is in described ISO interval range; If the ISO value of described current environment is in described ISO interval range, then interval for described ISO corresponding removing-noise strength parameter is defined as the first removing-noise strength parameter to described collection image.
In specific embodiment, determine according to current environmental light brightness value removing-noise strength parameter i.e. the first removing-noise strength parameter obtaining current default in the first determining unit 131, and at the ratio of parameter adjustment unit 133 according to this first resolution and second resolution, this first removing-noise strength parameter is adjusted, after obtaining final target removing-noise strength parameter, image processing module 14 can carry out image denoising process based on this target removing-noise strength parameter, thus obtains the image of resolution sizes needed for camera application.
In embodiments of the present invention, when starting camera, the removing-noise strength parameter i.e. first removing-noise strength parameter of acquiescence is determined by obtaining current environmental light brightness value, and pass through the ratio calculating the first resolution of camera sensing device output and the second resolution of output image needs, adjust based on the acquiescence removing-noise strength parameter of this ratio to current acquired image, thus finally determine the removing-noise strength parameter of applicable current acquired image, namely can adjust in conjunction with the resolution sizes required for output image the removing-noise strength that present image is adopted, thus when avoiding that needed for output image, resolution is lower, the removing-noise strength only determined according to current environment parameter carries out denoising to image, and the problem that the image frame of the output caused is fuzzy, the quality of output image can be promoted, improve the picture effect of output image.
Further, refer to Fig. 6, Fig. 6 is the structural representation of the another kind of image denoising device that the embodiment of the present invention provides.Concrete, as shown in Figure 6, the first acquisition module 11, second acquisition module 12 of the image denoising device of Fig. 4 that the described device of the embodiment of the present invention can be above-mentioned, parameter determination module 13 and image processing module 14.Further, in embodiments of the present invention, described parameter determination module 13 can specifically comprise:
Search unit 134, for finding out the removing-noise strength parameter corresponding with described current environmental light brightness value, described first resolution and described second resolution from the parameter configuration list stored, described parameter configuration list comprises the mapping relations of different environment bright angle value, first resolution and second resolution;
Second determining unit 135, for searching described the target removing-noise strength parameter that described removing-noise strength parameter that unit 134 finds out is defined as described collection image.
In specific embodiment, this parameter configuration list can pre-configuredly obtain, and this parameter configuration list comprises the mapping relations of many group environment bright angle value, first resolution and second resolution and removing-noise strength parameter.When the first acquisition module 11 acquires current environmental light brightness value, after second acquisition module 12 acquires first resolution and second resolution, searching unit 134 can using this current environmental light brightness value, first resolution and second resolution as index, in preset parameter configuration list, find out the removing-noise strength parameter corresponding with this current environmental light brightness value, first resolution and second resolution, the removing-noise strength parameter that this can find out by the second determining unit 135 is defined as the target removing-noise strength parameter of image being carried out to denoising.
It should be noted that, in this parameter configuration list, can be each group environment bright angle value, first resolution and the corresponding one group of removing-noise strength parameter of second resolution, or many group environment bright angle value, first resolution and the corresponding one group of removing-noise strength parameter of second resolution, the embodiment of the present invention does not limit.
In specific embodiment, after the second determining unit 135 determines to obtain final target removing-noise strength parameter, image processing module 14 can carry out image denoising process based on this target removing-noise strength parameter, thus obtains the image of resolution sizes needed for camera application.
In embodiments of the present invention, when starting camera, by obtaining current environmental light brightness value, the first resolution that camera sensing device exports and the second resolution that output image needs, and find out and this current environmental light brightness value from preset parameter configuration list, first resolution and removing-noise strength parameter corresponding to second resolution are as the removing-noise strength parameter to current acquired image, namely can determine in conjunction with the resolution sizes required for output image the removing-noise strength that present image is adopted, when avoiding that needed for output image, resolution is lower, the removing-noise strength only determined according to current environment parameter carries out denoising to image, and the problem that the image frame of the output caused is fuzzy, the quality of output image can be promoted, improve the picture effect of output image.
Refer to Fig. 7, Fig. 7 is the structural representation of a kind of terminal that the embodiment of the present invention provides, for performing the above-mentioned image de-noising method based on resolution.As shown in Figure 7, described terminal can comprise: at least one processor 100, at least one input unit 200, at least one output device 300, assembly such as memory 500 grade.Wherein, these assemblies are communicated to connect by one or more bus 400.It will be appreciated by those skilled in the art that, the structure of the terminal shown in Fig. 7 does not form the restriction to the embodiment of the present invention, it both can be busbar network, also can be hub-and-spoke configuration, the parts more more or less than diagram can also be comprised, or combine some parts, or different parts are arranged.Wherein:
Processor 100 is the control centre of terminal, utilize the various piece of various interface and the whole terminal of connection, by running or perform the program in memory 500 of being stored in and/or module, and call the data be stored in memory 500, to perform various function and the deal with data of terminal.Processor 100 by integrated circuit (Integrated Circuit is called for short IC) composition, such as, can be made up of the IC of single encapsulation, also can be made up of the encapsulation IC connecting many identical functions or difference in functionality.For example, processor 100 only can comprise central processing unit (Central Processing Unit, be called for short CPU), also can be CPU, digital signal processor (digital signal processor, be called for short DSP), the combination of graphic process unit (Graphic Processing Unit, be called for short GPU) and various control chip.In embodiments of the present invention, CPU can be single arithmetic core, also can comprise multioperation core.
Input unit 200 can comprise the touch-screen of standard, keyboard, shooting are first-class, also can include line interface, wave point etc.
Output device 300 can comprise display screen, loud speaker etc., also can include line interface, wave point etc.
Memory 500 can be used for storing software program and module, processor 100, input unit 200 and output device 300 are stored in software program in memory 500 and module by calling, thus perform the various functions application of terminal and realize data processing.Memory 500 mainly comprises program storage area and data storage area, and wherein, program storage area can storage operation system, application program etc. needed at least one function; Data storage area can store the data etc. created according to the use of terminal.In embodiments of the present invention, operating system can be android system, iOS system or Windows operating system etc.
Concrete, processor 100 calls the application program be stored in memory 500, for performing following steps:
When opening camera, obtain current environmental light brightness value;
Obtain first resolution corresponding to the collection image of described camera and second resolution, wherein, described first resolution is the resolution that camera sensing device exports, the resolution needed when described second resolution is and exports described collection image;
Based on described current environmental light brightness value, described first resolution and described second resolution, obtain the target removing-noise strength parameter to described collection image;
Use described target removing-noise strength parameter to carry out denoising to described collection image, and export the collection image after described denoising by output device 300.
Optionally, processor 100 calls the application program be stored in memory 500 and performs described based on described current environmental light brightness value, described first resolution and described second resolution, obtain the target removing-noise strength parameter to described collection image, specifically perform following steps:
According to described current environmental light brightness value, determine the first removing-noise strength parameter to described collection image;
Calculate the ratio of described first resolution and described second resolution;
According to described ratio, adjust described first removing-noise strength parameter, obtain target removing-noise strength parameter.
Optionally, described ratio is the quotient that described second resolution obtains divided by described first resolution, and removing-noise strength corresponding to described target removing-noise strength parameter is directly proportional to described ratio.
Optionally, described ratio is the quotient that described first resolution obtains divided by described second resolution, and the removing-noise strength that described target removing-noise strength parameter is corresponding and described ratio are inversely proportional to.
Optionally, described current environmental light brightness value comprises the photosensitivity ISO value of current environment; Processor 100 calls the application program be stored in memory 500 and performs described according to described current environmental light brightness value, determines, to the first removing-noise strength parameter of described collection image, specifically to perform following steps:
The ISO value of described current environment and the ISO value in the ISO interval stored are compared, judges whether the ISO value of described current environment is in described ISO interval range;
If the ISO value of described current environment is in described ISO interval range, then interval for described ISO corresponding removing-noise strength parameter is defined as the first removing-noise strength parameter to described collection image.
Optionally, processor 100 calls the application program be stored in memory 500 and performs described based on described current environmental light brightness value, described first resolution and described second resolution, obtain the target removing-noise strength parameter to described collection image, specifically perform following steps:
From the parameter configuration list stored, find out the removing-noise strength parameter corresponding with described current environmental light brightness value, described first resolution and described second resolution, described parameter configuration list comprises the mapping relations of different environment bright angle value, first resolution and second resolution;
The described removing-noise strength parameter found out is defined as the target removing-noise strength parameter of described collection image.
In embodiments of the present invention, can when opening camera, by obtaining current environmental light brightness value, the first resolution that camera sensing device exports and the second resolution that output image needs, determine to obtain the removing-noise strength parameter to current acquired image, namely can adjust in conjunction with the resolution sizes required for output image the removing-noise strength that present image is adopted, thus when avoiding that needed for output image, resolution is lower, the removing-noise strength only determined according to current environment parameter carries out denoising to image, and the problem that the image frame of the output caused is fuzzy, make it possible to the quality promoting output image, improve the picture effect of output image.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, in certain embodiment, there is no the part described in detail, can see the associated description of other embodiments.
One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, that the hardware that can carry out instruction relevant by computer program has come, described program can be stored in a computer read/write memory medium, this program, when performing, can comprise the flow process of the embodiment as above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, ROM) or random access memory (Random Access Memory is called for short RAM) etc.
Above disclosedly be only present pre-ferred embodiments, certainly can not limit the interest field of the present invention with this, therefore according to the equivalent variations that the claims in the present invention are done, still belong to the scope that the present invention is contained.
Claims (12)
1. based on an image de-noising method for resolution, it is characterized in that, comprising:
When opening camera, obtain current environmental light brightness value;
Obtain first resolution corresponding to the collection image of described camera and second resolution, wherein, described first resolution is the resolution that camera sensing device exports, the resolution needed when described second resolution is and exports described collection image;
Based on described current environmental light brightness value, described first resolution and described second resolution, obtain the target removing-noise strength parameter to described collection image;
Use described target removing-noise strength parameter to carry out denoising to described collection image, export the collection image after described denoising.
2. method according to claim 1, is characterized in that, described based on described current environmental light brightness value, described first resolution and described second resolution, obtains the target removing-noise strength parameter to described collection image, comprising:
According to described current environmental light brightness value, determine the first removing-noise strength parameter to described collection image;
Calculate the ratio of described first resolution and described second resolution;
According to described ratio, adjust described first removing-noise strength parameter, obtain target removing-noise strength parameter.
3. method according to claim 2, is characterized in that, described ratio is the quotient that described second resolution obtains divided by described first resolution, and removing-noise strength corresponding to described target removing-noise strength parameter is directly proportional to described ratio.
4. method according to claim 2, is characterized in that, described ratio is the quotient that described first resolution obtains divided by described second resolution, and the removing-noise strength that described target removing-noise strength parameter is corresponding and described ratio are inversely proportional to.
5. the method according to any one of claim 2-4, is characterized in that, described current environmental light brightness value comprises the photosensitivity ISO value of current environment; Described according to described current environmental light brightness value, determine, to the first removing-noise strength parameter of described collection image, to comprise:
The ISO value of described current environment and the ISO value in the ISO interval stored are compared, judges whether the ISO value of described current environment is in described ISO interval range;
If the ISO value of described current environment is in described ISO interval range, then interval for described ISO corresponding removing-noise strength parameter is defined as the first removing-noise strength parameter to described collection image.
6. method according to claim 1, is characterized in that, described based on described current environmental light brightness value, described first resolution and described second resolution, obtains the target removing-noise strength parameter to described collection image, comprising:
From the parameter configuration list stored, find out the removing-noise strength parameter corresponding with described current environmental light brightness value, described first resolution and described second resolution, described parameter configuration list comprises the mapping relations of different environment bright angle value, first resolution and second resolution;
The described removing-noise strength parameter found out is defined as the target removing-noise strength parameter of described collection image.
7. an image denoising device, is characterized in that, comprising:
First acquisition module, for when opening camera, obtains current environmental light brightness value;
Second acquisition module, the first resolution corresponding for the collection image obtaining described camera and second resolution, wherein, described first resolution is the resolution that camera sensing device exports, the resolution needed when described second resolution is and exports described collection image;
Parameter determination module, for based on described current environmental light brightness value, described first resolution and described second resolution, obtains the target removing-noise strength parameter to described collection image;
Image processing module, the described target removing-noise strength parameter obtained for using described parameter determination module carries out denoising to described collection image, exports the collection image after described denoising.
8. device according to claim 7, is characterized in that, described parameter determination module comprises:
First determining unit, for according to described current environmental light brightness value, determines the first removing-noise strength parameter to described collection image;
Computing unit, for calculating the ratio of described first resolution and described second resolution;
Parameter adjustment unit, for the described ratio calculated according to described computing unit, adjusts described first removing-noise strength parameter, obtains target removing-noise strength parameter.
9. device according to claim 8, is characterized in that, described ratio is the quotient that described second resolution obtains divided by described first resolution, and removing-noise strength corresponding to described target removing-noise strength parameter is directly proportional to described ratio.
10. device according to claim 8, is characterized in that, described ratio is the quotient that described first resolution obtains divided by described second resolution, and the removing-noise strength that described target removing-noise strength parameter is corresponding and described ratio are inversely proportional to.
11. devices according to Claim 8 described in-10 any one, it is characterized in that, described current environmental light brightness value comprises the photosensitivity ISO value of current environment; Described first determining unit specifically for:
The ISO value of described current environment and the ISO value in the ISO interval stored are compared, judges whether the ISO value of described current environment is in described ISO interval range; If the ISO value of described current environment is in described ISO interval range, then interval for described ISO corresponding removing-noise strength parameter is defined as the first removing-noise strength parameter to described collection image.
12. devices according to claim 7, is characterized in that, described parameter determination module comprises:
Search unit, for finding out the removing-noise strength parameter corresponding with described current environmental light brightness value, described first resolution and described second resolution from the parameter configuration list stored, described parameter configuration list comprises the mapping relations of different environment bright angle value, first resolution and second resolution;
Second determining unit, for searching described the target removing-noise strength parameter that described removing-noise strength parameter that unit finds out is defined as described collection image.
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