WO2003056818A1 - Image pickup apparatus and method - Google Patents
Image pickup apparatus and method Download PDFInfo
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- WO2003056818A1 WO2003056818A1 PCT/JP2002/012903 JP0212903W WO03056818A1 WO 2003056818 A1 WO2003056818 A1 WO 2003056818A1 JP 0212903 W JP0212903 W JP 0212903W WO 03056818 A1 WO03056818 A1 WO 03056818A1
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- image data
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- H04N5/77—Interface circuits between an apparatus for recording and another apparatus between a recording apparatus and a television camera
- H04N5/772—Interface circuits between an apparatus for recording and another apparatus between a recording apparatus and a television camera the recording apparatus and the television camera being placed in the same enclosure
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Definitions
- the present invention relates to an imaging apparatus and method, and in particular, compresses image data to a predetermined data size once in a still image recording mode with a compression ratio calculated in advance based on a high-frequency integral value of a monitor image signal in a monitor mode.
- the present invention relates to an imaging apparatus and method capable of shortening an image recording time and further reducing a memory capacity required for compression processing.
- image data corresponding to a captured image is recorded as digital data.
- this image data has a large data size as it is and a large memory capacity for recording, it is generally compressed and recorded by, for example, the JPEG (Joint Photographic Experts-Group) method. Is done.
- FIG. 1 is a block diagram showing a configuration example of a conventional JPEG compression unit for compressing image data by the JPEG method.
- image data converted to an image format suitable for compression is input from an input terminal 11 to a JPEG compression unit 1 and supplied to a DCT (discrete cosine transform) unit 12.
- the DCT unit 12 performs a discrete cosine transform process on the supplied image data, converts the image data from a time axis component to a frequency axis component, and supplies the image data to the quantization processing unit 13.
- the quantization processing unit 13 adjusts the compression ratio of the image data based on the Q table including the table of the quantization coefficient supplied from the fixed-length Q (quantization coefficient) table creation unit 17 and outputs the image data. Is supplied to the variable-length coding processing unit 14. Variable length coding The processing unit 14 performs variable length coding on the image data using a variable length code such as a Huffman code, and outputs the compressed image data from an output terminal 19.
- a variable length code such as a Huffman code
- variable length coding processing unit 14 is also connected to the byte number calculation unit 15, and the compressed image data output from the variable length coding processing unit 14 is also sent to the byte number calculation unit 15. Supplied.
- the byte number calculator 15 calculates the number of bytes for one screen of the compressed image data, and supplies the result to the Q scale calculator 16.
- the Q scale calculator 16 calculates how much the input number of bytes deviates from the expected value of the number of bytes after compression of the captured image data, and adjusts the compression ratio based on the calculation result. Calculate the quantity (Q scale) and supply the calculated Q scale to the fixed-length Q table creation unit 17.
- the Q table creation section 17 creates a new Q table based on the Q scale supplied from the Q scale calculation section 16 and a predetermined Q table supplied from the Q table section 18. Are supplied to the quantization processing unit 13.
- the quantization processing unit 13 adjusts the compression ratio of the image data again based on the new Q table supplied from the Q table creation unit 17.
- the JPEG compression unit 1 can compress the input image data to a predetermined data size.
- the compression ratio is set high so that any image data can be compressed to the specified data size at one time, the image quality due to block noise, mosquito noise, etc.
- the time required for the compression processing of the image data becomes longer.
- the present invention has been made in view of such circumstances, and has been made to reduce the image recording time and the memory capacity required for compression processing.
- the imaging apparatus includes: a monitor mode for monitoring image data obtained by capturing an image of a subject; and captured image data for recording image data corresponding to a still image instructed to be recorded by a user as captured image data
- a high-frequency integration means for integrating a high-frequency component of the obtained image data in the monitor mode, and a recording mode based on the integrated value of the high-frequency integration means in the captured image data recording mode.
- Compression processing means for compressing captured image data to be extracted, the high-frequency integration means extracting means for extracting high-frequency components of the image data, and converting the high-frequency components of the image data extracted by the extraction means into absolute values
- An absolute value integrating means for integrating the high frequency components of the image data absolutely converted by the absolute value converting means.
- the compression processing means is calculated by the compression byte number calculation means for calculating the number of bytes when the captured image data to be recorded is compressed, based on the integration value obtained by the integration of the high frequency integration means, and the compression byte number calculation means.
- the quantization scale calculation means for calculating the quantization scale for compressing the photographed image data to a predetermined number of bytes at once based on the number of bytes in the case where the image data is compressed, and the quantization scale calculation means.
- Quantization table creating means for creating a quantization table used for compressing captured image data based on the quantized scale obtained, and a captured image based on the quantization table created by the quantization table creating means.
- Compression means for compressing data.
- the compression processing means further compresses the thumbnail image data corresponding to the thumbnail image obtained by reducing the size of the captured image corresponding to the captured image data. Further, the number of bytes when the thumbnail image data to be recorded is compressed is further calculated based on the thumbnail image data based on the number of bytes after compression calculated by the number of compressed bytes calculation means. A quantization scheme for compressing data to a predetermined number of bytes at a time. Further, the quantization table creation means further creates a quantization table used for compressing the thumbnail image data based on the quantization scale calculated by the quantization scale calculation means, and the compression means: The thumbnail image data can be further compressed based on the quantization table created by the quantization table creation means.
- the compression byte number calculation means calculates so that the larger the integration value of the high-frequency integration means, the larger the number of bytes when compressed, and the quantization scale calculation means, the larger the number of bytes when compressed.
- the quantization scale can be calculated so as to increase the compression ratio.
- the high-frequency integrating means may integrate a high-frequency component of the photographed image data on which predetermined image signal processing has been performed.
- the imaging method of the present invention includes a monitor mode for monitoring image data obtained by capturing an image of a subject, and a captured image data recording for recording image data corresponding to a still image instructed to be recorded by a user as captured image data.
- a high-frequency integration step for integrating high-frequency components of the obtained image data in the monitor mode, and an integration value obtained by integration of the high-frequency integration step in the captured image data recording mode.
- a high-frequency integration step for extracting high-frequency components of the image data; and a high-frequency component of the image data extracted by the extraction step.
- Absolute value conversion step for absolute value conversion and image data converted to absolute value The absolute value integration step for integrating the high-frequency component of the data, and the compression processing step is the number of bytes when the captured image data to be recorded is compressed based on the integration value obtained by the integration of the processing of the high-frequency integration step. Based on the number of compressed bytes calculated by the processing of the number of compressed bytes calculated in the processing of the number of compressed bytes calculated in the step of calculating the number of compressed bytes. Compressing the captured image data based on the quantization scale calculation step for calculating the quantization scale and the quantization scale calculated by the quantization scale calculation step And a compression step of compressing photographed image data based on the quantization table created by the processing of the quantization table creation step. .
- the program of the recording medium includes: a monitor mode for monitoring image data obtained by capturing an image of a subject; and a photographing mode for recording image data corresponding to a still image instructed to be recorded by a user as photographed image data.
- a high-frequency integration step for integrating high-frequency components of the obtained image data in the monitor mode in an image data recording mode; and an integrated value obtained by integrating the processing in the high-frequency integration step in the captured image data recording mode.
- a high-frequency integration step for extracting a high-frequency component of the image data, and an image data extracted by the extraction step.
- the captured image data is compressed to a predetermined number of bytes at a time based on the number of compressed bytes calculated by the process of calculating the number of bytes to calculate the number of bytes and the number of steps of calculating the number of compressed bytes
- the program according to the present invention includes a monitor mode for monitoring image data obtained by capturing an image of a subject, and a captured image data recording mode for recording image data corresponding to a still image instructed to be recorded by a user as captured image data.
- a high-frequency integration step for integrating the high-frequency component of the obtained image data in the monitor mode, and an integration for the high-frequency integration step in the captured image data recording mode.
- a compression processing step for compressing the captured image data to be recorded based on the integrated value of the image data.
- the high-frequency integration step is extracted by the extraction step of extracting the high-frequency component of the image data and the extraction step.
- a monitor mode for monitoring an image obtained by capturing an image of a subject, and image data corresponding to a still image instructed to be recorded by a user are captured.
- a photographed image data recording mode for recording as image data is provided, and a high-frequency component of the image data is extracted, converted into an absolute value, integrated, and based on the integrated value, the compressed photographed image data to be recorded is compressed.
- the number of bytes is calculated, and a quantization scale for compressing the captured image data at a time to a predetermined number of bytes is calculated based on the calculated number of bytes after the compression, and the calculated quantization scale is calculated.
- FIG. 1 is a block diagram showing a configuration example of a conventional JPEG compression unit for compressing image data by the JPEG method.
- FIG. 2 is a block diagram illustrating a basic configuration example of an imaging device to which the present invention has been applied.
- FIG. 3 is a block diagram showing an example of the internal configuration of the high-frequency integration processing unit shown in FIG.
- FIG. 4 is a block diagram showing an example of the internal configuration of the JPEG compression section shown in FIG.
- FIG. 5 is a flowchart illustrating the high-frequency integration processing.
- FIG. 6 is a flowchart illustrating the JPEG compression process. BEST MODE FOR CARRYING OUT THE INVENTION
- control unit 1111 controls the high-pass filter 212 in step S4 to reduce the low-frequency component of the vertical component of the input Y signal.
- the absolute value processing unit 2 13 is controlled to The vertical component of the Y signal obtained by cutting the low frequency component is converted into an absolute value, and in step S6, the vertical high frequency integration processing section 2 14 is controlled to obtain the absolute value of the vertical component of the Y signal for one screen. Integrate the values.
Description
Claims
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US10/468,981 US7433531B2 (en) | 2001-12-26 | 2002-12-10 | Image pickup apparatus and method |
EP02788760A EP1460843A4 (en) | 2001-12-26 | 2002-12-10 | IMAGING APPARATUS AND METHOD |
KR20037011134A KR100930161B1 (ko) | 2001-12-26 | 2002-12-10 | 촬상 장치 및 방법 |
US12/185,386 US20090009659A1 (en) | 2001-12-26 | 2008-08-04 | Image capturing apparatus and method |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2001393040A JP2003199019A (ja) | 2001-12-26 | 2001-12-26 | 撮像装置および方法、記録媒体、並びにプログラム |
JP2001-393040 | 2001-12-26 |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/185,386 Continuation US20090009659A1 (en) | 2001-12-26 | 2008-08-04 | Image capturing apparatus and method |
Publications (1)
Publication Number | Publication Date |
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WO2003056818A1 true WO2003056818A1 (en) | 2003-07-10 |
Family
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Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2002/012903 WO2003056818A1 (en) | 2001-12-26 | 2002-12-10 | Image pickup apparatus and method |
Country Status (7)
Country | Link |
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US (2) | US7433531B2 (ja) |
EP (1) | EP1460843A4 (ja) |
JP (1) | JP2003199019A (ja) |
KR (1) | KR100930161B1 (ja) |
CN (1) | CN1333591C (ja) |
TW (1) | TWI236843B (ja) |
WO (1) | WO2003056818A1 (ja) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7440010B2 (en) | 2003-09-30 | 2008-10-21 | Mitsubishi Denki Kabushiki Kaisha | Image pickup device and image pickup method |
Families Citing this family (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1754391B (zh) | 2003-02-27 | 2010-05-26 | 精工爱普生株式会社 | 利用特定颜色空间的图像再生装置及方法 |
JP4359773B2 (ja) | 2004-06-22 | 2009-11-04 | ソニー株式会社 | 画像圧縮処理装置、画像圧縮処理方法および画像圧縮処理プログラム |
JP4625462B2 (ja) * | 2004-08-27 | 2011-02-02 | セイコーエプソン株式会社 | 特定の色空間を利用した画像再生を行う装置、方法、及び、プログラム |
KR100601475B1 (ko) * | 2004-12-09 | 2006-07-18 | 삼성전기주식회사 | 이미지 복잡도에 따라 가변적 양자화 크기를 갖는 이미지압축 장치 및 그 방법 |
KR20070024211A (ko) * | 2005-08-26 | 2007-03-02 | 삼성전자주식회사 | 영상압축장치 및 방법 |
JP5084224B2 (ja) * | 2006-10-23 | 2012-11-28 | Kddi株式会社 | 自己同期型ストリーム暗号の暗号化装置、復号化装置、自己同期型ストリーム暗号システム、mac生成装置、暗号化方法、復号化方法、mac生成方法およびプログラム |
CN101719173B (zh) * | 2009-11-17 | 2012-05-23 | 上海电机学院 | 一种面向对象的并行碰撞检测方法、装置及系统 |
JP5641898B2 (ja) * | 2010-11-26 | 2014-12-17 | ルネサスエレクトロニクス株式会社 | 画像圧縮装置及び画像圧縮方法並びにプログラム |
CN103369313B (zh) | 2012-03-31 | 2017-10-10 | 百度在线网络技术(北京)有限公司 | 一种进行图像压缩的方法、装置和设备 |
KR101367777B1 (ko) * | 2012-08-22 | 2014-03-06 | 주식회사 핀그램 | 적응 이미지 압축시스템 및 그 방법 |
CN103731448B (zh) * | 2012-10-11 | 2017-09-26 | 腾讯科技(深圳)有限公司 | 一种压缩图片的方法和系统 |
JP2016052081A (ja) * | 2014-09-02 | 2016-04-11 | カシオ計算機株式会社 | 撮像装置、画像保存方法及びプログラム |
CN105376581B (zh) * | 2015-11-17 | 2018-10-16 | 复旦大学 | 一种适用于hevc标准的基于指针的两级dct系数存储方法 |
CN105430419B (zh) * | 2015-11-17 | 2018-12-11 | 复旦大学 | 一种适用于hevc标准的基于脏位的两级dct系数存储方法 |
CN111556313B (zh) * | 2020-04-26 | 2021-05-04 | 武汉理工大学 | 基于整数近似的低复杂度dtt与自适应量化的图像压缩方法 |
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Also Published As
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US20090009659A1 (en) | 2009-01-08 |
KR100930161B1 (ko) | 2009-12-07 |
KR20040065990A (ko) | 2004-07-23 |
TW200301652A (en) | 2003-07-01 |
JP2003199019A (ja) | 2003-07-11 |
US7433531B2 (en) | 2008-10-07 |
EP1460843A1 (en) | 2004-09-22 |
EP1460843A4 (en) | 2005-08-10 |
CN1333591C (zh) | 2007-08-22 |
TWI236843B (en) | 2005-07-21 |
CN1498497A (zh) | 2004-05-19 |
US20050018907A1 (en) | 2005-01-27 |
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