WO2007075066A1 - Processeur d'image, dispositif et procede de compensation de l'assombrissement de bord d'image dans l'optique - Google Patents

Processeur d'image, dispositif et procede de compensation de l'assombrissement de bord d'image dans l'optique Download PDF

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Publication number
WO2007075066A1
WO2007075066A1 PCT/KR2006/005845 KR2006005845W WO2007075066A1 WO 2007075066 A1 WO2007075066 A1 WO 2007075066A1 KR 2006005845 W KR2006005845 W KR 2006005845W WO 2007075066 A1 WO2007075066 A1 WO 2007075066A1
Authority
WO
WIPO (PCT)
Prior art keywords
pixel
correction
compensation
object pixel
compensation coefficient
Prior art date
Application number
PCT/KR2006/005845
Other languages
English (en)
Inventor
Jung-Bum Chun
Ho-Young Lee
Original Assignee
Mtekvision Co., Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from KR1020050133469A external-priority patent/KR100747729B1/ko
Priority claimed from KR1020050133574A external-priority patent/KR100843624B1/ko
Application filed by Mtekvision Co., Ltd. filed Critical Mtekvision Co., Ltd.
Publication of WO2007075066A1 publication Critical patent/WO2007075066A1/fr

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/61—Noise processing, e.g. detecting, correcting, reducing or removing noise the noise originating only from the lens unit, e.g. flare, shading, vignetting or "cos4"
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80—Camera processing pipelines; Components thereof
    • H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation

Definitions

  • the present invention is related to an apparatus and a method for lens shading
  • Portable apparatuses e.g. digital cameras and mobile communication terminal
  • the image sensor consists of the
  • pixels arrays of small photo diodes, which are called pixel or photosite.
  • the pixels themselves are arrays of small photo diodes, which are called pixel or photosite.
  • a sensor is filtered such that different pixels can receive different color light.
  • This type of sensor is well-known as a color filter array (CFA).
  • CFA color filter array
  • filters intersect the sensor and are arrayed in a predetermined pattern.
  • a Bayer color filter array which is a most useful pattern, is designed by Kodak.
  • the CFA of a color image is typically adjusted to the Bayer pattern.
  • pixels has a pattern repeated with red, green, and blue filters.
  • red, green, and blue filters For example, the Bayer
  • the Bayer pattern is based on the premise that a user's eye derives most of
  • the RGB color filter Accordingly, the RGB color filter
  • FIG. 1 is a simplified diagram illustrating the difference of the transmissivity
  • FIG. 2 is a graph illustrating the transmssivity depending on
  • FIG. 3 is a graph illustrating the signal magnitude change depending on the
  • CFA of an image sensor are exposed to light at different positions. This minute position difference causes the illumination difference. This illumination difference also causes
  • the luminance value can be set differently depending on the users.
  • FIG. 4 and FIG. 5 are examples illustrating a conventional method of lens
  • a correction value a finds the position of the center pixel. If a pixel P, which is currently requested to be corrected, is in a block C, a table value (i.e. a compensation value a) of
  • equation is generated by linearly connecting the extracted two compensation values a
  • the all RGB components request registers 3 times as many as
  • the present invention which is designed to solve the above problems, provides
  • the present invention provides an apparatus and a method for lens
  • an aspect of the present invention features an
  • correction apparatus includes a pixel position calculating unit, determining the position
  • a compensation coefficient generating unit generating the
  • the compensation coefficient generating unit determines the compensation
  • curve parameter and * which is a natural number between 1 and 5, inclusive, refers to
  • the compensation coefficient generating unit determines the
  • distance r — d is substantially the same as or larger than a value of subtracting the
  • the is 0.01, and the offset alpha_ ⁇ ffset
  • the correction performing unit performs the correction by the following
  • correction method includes determining the position of a correction object pixel
  • the image processor for an imaging device correcting lens shading, the image processor includes a
  • correction processing unit determining the position of a correction object pixel
  • the image processor which detects the center pixel of an shading image
  • the compensation curve can be calculated by using the following formula:
  • each pixel can refer to the compensation coefficients.
  • correction apparatus correcting the lens shading phenomenon of an image sensor
  • a center position detecting unit detecting the center pixel of an shading image
  • a pixel position calculating unit determining
  • a compensation coefficient generating unit calculating a
  • the compensation curve can be calculated by using the following formula:
  • each pixel can refer to the compensation coefficients.
  • the lens shading correction apparatus can further have a correction register
  • An aspect of the present invention features A lens shading correction method
  • the method being performed in a lens shading correction apparatus correcting the lens
  • the lens shading correction method the method being performed in a lens
  • senor can include detecting the center pixel of an shading image corresponding to a
  • pixel is included in he block; and performing the correction by using the input pixel value of the correction object pixel and the compensation value.
  • the lens shading correction method can determine the section, where the
  • compensation curve is identical to the property curve, as a block by selectively
  • the lens shading correction method can further have calculating the property
  • FIG. 1 is a simplified diagram illustrating the difference of the transmissivity
  • FIG. 2 is a graph illustrating the transmssivity depending on the distance
  • FIG. 3 is a graph illustrating the signal magnitude change depending on the
  • FIG. 4 and FIG. 5 are examples illustrating a conventional method of lens shading correction
  • FIG. 6 is a block diagram illustrating an imaging device in accordance with a
  • FIG. 7 is a block diagram illustrating an embodiment of a correction processing
  • FIG. 8 is an example illustrating an image area partitioned in accordance with
  • FIG. 9 is an example illustrating a compensation coefficient determined by the
  • FIG. 10 is a flow chart illustrating an embodiment of a lens shading correction
  • FIG. 11 is an example illustrating inputted image data in accordance with a
  • FIG. 12 is an example illustrating the image data of FIG. 11 corrected in
  • FIG. 13 is a block diagram illustrating an imaging device in accordance with a
  • FIG. 14 is a block diagram illustrating the detailed structure of a correction
  • FIG. 15 illustrates a method of detecting the center pixel of a shading image in accordance with a second embodiment of the present invention
  • FIG. 16 and FIG. 17 illustrate compensation curves corresponding to a section
  • FIG. 18 is an example illustrating the property curve of a shading image in
  • FIG. 19 is an example illustrating an ideal gain curve in accordance with a
  • FIG. 20 is a flow chart illustrating a lens shading correction method in
  • the first element can be any element used only to distinguish one element from the other.
  • the first element can be any element used only to distinguish one element from the other.
  • the first element can be any element used only to distinguish one element from the other.
  • the first element can be any element used only to distinguish one element from the other.
  • the first element can be any element used only to distinguish one element from the other.
  • the first element can be any element used only to distinguish one element from the other.
  • the first element can be any element used only to distinguish one element from the other.
  • the first element can be any element used only to distinguish one element from the other.
  • the first element can be any element used only to distinguish one element from the other.
  • FIG. 6 is a block diagram illustrating an imaging device in accordance with a
  • an imaging device 400 that is applied to the present
  • inventions can include a sensor unit 410, an image processing unit 420 and a display unit
  • the imaging device 400 can further have a key input unit and a memory.
  • the sensor unit 410 has a color filter array (CFA) 411 and an analog / digital
  • the sensor unit 410 can further have a lens (not shown).
  • the CFA 411 converts an optical photographic subject signal, inputted through the lens, to an electrical signal and outputs the converted signal. At this time, the CFA
  • the interpolation is performed by an interpolation unit 421.
  • the A/D converter 412 converts the image signal, converted by the CFA 411,
  • the image processing unit 420 includes the interpolation unit 421, an
  • interpolation memory 422 interpolation memory 422, a correction processing unit 423, a correction register 424, a
  • color adjusting unit 425 a gamma converting unit 426, a gamma table 427, a format
  • 420 can further include a timing generating unit (not shown) generating all kinds of
  • the interpolation unit 421 generates a pixel signal of RGB components per each pixel. If the CFA 411 outputs an image signal having a Bayer array, the pixel
  • the interpolation unit 421 can allow the color filter of
  • the R component to generate the pixel signal of the G component or the B component
  • memory 422 temporarily writes the pixel signals of the adjacent pixels, and the
  • interpolation unit 421 performs the interpolation-calculation by using the pixel signals
  • the correction processing unit 423 generates a compensation coefficient of
  • each image signal performs the shading correction of the image signals in accordance
  • the correction register 424 stores the compensation coefficient, generated by
  • the correction processing unit 423 according to the area of a correction object image.
  • the color adjusting unit 425 is means adjusting the color tone (e.g. bluish blue
  • the gamma converting unit 426 is means adjusting an image to the device
  • the display unit 430 e.g. a liquid crystal display
  • the gamma table 427 stores a converting
  • the format converting unit 428 which is means converting to the format of the
  • image signal suitable for the display unit 430 converts the pixel signal to a signal of the
  • format converting table 429 is a table for converting to the signal of the digital
  • component format such as NTSC and YUV.
  • FIG. 7 is a block diagram illustrating an embodiment of the correction
  • FIG. 8 is an example illustrating an image area partitioned in accordance with the first
  • the correction processing unit 423 consists of
  • the pixel position calculating unit 510 calculates the distance between the
  • the correction processing unit 423 calculates the correction processing unit 423 .
  • the pixel position calculating unit 510 calculates the position of the corresponding pixel.
  • the max i mum length of a main curve from the center coordinate refers to R_length f an area corresponding to the internal area of a circle
  • R_length refers to a "first area.”
  • the external area of the first area is formed with 4 quadrants based on the center
  • the pixel position calculating unit 510 can calculate the distanc between
  • the compensation coefficient generating unit 520 generates the compensation
  • the compensation coefficient generating unit 520 can generate the compensation
  • FIG. 9 is an example illustrating the compensation coefficient determined by
  • the formula 3 represents the compensation coefficient at the i th area.
  • the correction performing unit 530 generates corrected pixel information by
  • the correction performing unit 530 adds the compensation value, calculated by the compensation coefficient generating unit 520, to the pixel value of an input pixel. Then, the correction performing unit 530
  • the compensation coefficient generating unit 520 generates an additional correction
  • the correction which is performed by the correction performing unit 530 in
  • the correction performing unit 530 determines the output pixel value of the correction object pixel by the following
  • unit 520 defines another value subtracting the from as
  • the correction performing unit 530 can perform
  • the correction performing unit 530 performs
  • the correction performing unit 530 can perform this correction for the
  • Coeff3 in the case that x ⁇ Rx, y ⁇ Ry ; the Coeff2 can be replaced with Coeff4
  • FIG. 10 is a flow chart illustrating an embodiment of a lens shading correction method in accordance with the first embodiment of the present invention
  • position calculating unit 510 determines the position of a correction object pixel
  • the compensation coefficient generating unit 520 determines a
  • ⁇ t ⁇ e compensation coefficient generating unit 520 determines the
  • alpha_ ⁇ ffset me compensation coefficient generating unit 520 determines the
  • i depends on an area in accordance with the correction object pixel as described
  • FIG. 11 is an example illustrating inputted image data in accordance with the
  • FIG. 12 is an example illustrating the
  • FIG. 13 is a block diagram illustrating an imaging device in accordance with a
  • the imaging device 1300 can include a sensor unit
  • the sensor unit 1310 has a color filter array (CFA) 1311 and an analog / digital
  • the sensor unit 1310 can further have a lens as
  • the CFA 1311 converts an optical photographic subject signal, inputted
  • the CFA 1311 uses a Bayer pattern having benefit in the resolution and outputs the
  • (R) pattern outputs an image signal having R information only; and a pixel of a green
  • G pattern outputs an image signal having G information only; and a pixel of a blue (B)
  • the interpolation is performed by an interpolation unit 1323.
  • the AID converting unit 1312 converts the image signal, converted by the
  • the image processing unit 1320 includes the correction processing unit 1321 , a correction register 1322, the interpolation unit 1323, a color adjusting unit 1324, a
  • gamma converting unit 1325 a gamma table 1326, a format converting unit 1327 and a
  • the image processing unit 1320 can further include
  • timing generating unit (not shown) generating all kinds of timing signals from a
  • pixel clock signal PCLK used for the driving of the CFA 1311.
  • the correction processing unit 1321 generates a compensation coefficient of
  • each image signal performs the shading correction of the image signals in accordance
  • the correction register 1322 stores the compensation coefficient, generated by
  • the correction processing unit 1321 according to the area of a correction object image.
  • the interpolation unit 1323 generates a pixel signal of RGB components per
  • corresponding to the R component can not take a pixel signal of the G component or the
  • the interpolation unit 1323 can allow the color filter of the
  • memory (not shown) temporarily writes the pixel signals of surrounding pixels, and the
  • interpolation unit 1323 performs the interpolation-calculation by using the pixel signals of surrounding pixels written temporarily in the interpolation memory (not shown).
  • the color adjusting unit 1324 is means adjusting the color tone (e.g. bluish
  • the gamma converting unit 1325 is means adjusting an image to the
  • the display unit 1330 e.g. a liquid crystal
  • the gamma table 1326 stores a
  • the format converting unit 1327 which is means converting to the format of
  • the image signal suitable for the display unit 1330 converts the pixel signal to a signal
  • the format such as NTSC, YUV and YCbCr.
  • converting table 1328 is a table for converting to the signal of the digital component
  • FIG. 14 is a diagram illustrating the correction processing unit in accordance
  • FIG. 15 illustrates a method
  • the correction processing unit 1321 consists of a pixel
  • the pixel value analyzing unit 1410 performs the analyzing of luminance
  • the pixel value analyzing unit 1410 can perform the analyzing of the digital image
  • the pixel value analyzing unit 1410 of the present invention performs the
  • the number of the analyzed data can be decreased 1/3 times as
  • the inputted image signal has the RGB Bayer pattern
  • pixel value analyzing unit 1410 can perform the analyzing of each of the RGB
  • the center position detecting unit 1415 finds the center pixel of the shading
  • the pixel array to be exactly identical to each other in case that their centers are identical
  • center position detecting unit 1415 finds the center pixel of the shading image, the
  • the center position detecting unit 1415 adjusts an
  • point pixels 1514 and 1516 are the center pixels of the shading image.
  • the center point of the circle is on the vertical bisector of the subtenses.
  • the aforementioned method can find the center pixel of the shading image. It is
  • the correction of the center pixel is an
  • the pixel position calculating unit 1425 calculates the distance between the
  • the correction processing unit 1321 counts the vertical line
  • the pixel value analyzing unit 1410 may be performed by the pixel value analyzing unit 1410 or additional counting means).
  • counted horizon pixel and vertical line numbers represent the position of the
  • the pixel position calculating unit 1425 can calculate
  • the compensation coefficient generating unit 1430 generates the compensation
  • the compensation coefficient generating unit 1430 can model the compensation
  • the compensation coefficient generating unit 1430 calculates the
  • the compensation coefficient generating unit 1430 selectively changes the compensation
  • the section can be determined as a block.
  • each pixel can refers to the compensation coefficients.
  • coefficient generating unit 1430 will be described with reference to FIG. 16 and FIG.
  • FIG. 18 is an example illustrating the property curve of the shading
  • section of can be determined as a block. For example, when is 0.2, is 0
  • first block the section of is determined as a block (hereinafter, referred to as a "first block.”
  • the section of " is determined as the first block. Then, the values of and is selectively changed to find the compensation coefficient of the
  • a polynomial expression corresponding to the compensation curve can be
  • the compensation curve being identical to the property curve at a
  • the correction coefficient generating unit 1430 determines the
  • the correction performing unit 1435 generates corrected pixel information by
  • FIG. 20 is a flow chart illustrating a lens shading correction method in accordance with the second embodiment of the present invention.
  • the pixel value analyzing unit 1410 receives
  • white color image received from the sensor unit 1310 can have the property of a shading
  • the property of the shading image meaning that the more the distance between
  • the pixel value analyzing unit 1410 can generate
  • the center position detecting unit 1415 detects a
  • the compensation coefficient generating unit In a step represented by 2025, the compensation coefficient generating unit
  • the compensation coefficient generating unit 1430 calculates the compensation
  • compensation coefficient generating unit 1430 calculates the compensation coefficient
  • section is determined as a block, and the distance of the corresponding section from the
  • compensation coefficient generating unit 1430 can calculate the compensation
  • the compensation coefficient generating unit 2030 In a step represented by 2030, the compensation coefficient generating unit
  • the correction performing unit 1435 can
  • the present invention can provide an apparatus and a
  • the present invention can provide an apparatus and a method for lens
  • the present invention can provide an apparatus and a method for
  • lens shading correction that can prevent the quality of an original image from being

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Studio Devices (AREA)
  • Color Television Image Signal Generators (AREA)

Abstract

L'invention concerne un dispositif et un procédé de correction de l'assombrissement de bord d'image. Ce dispositif détermine la position d'un pixel d'objet de correction, calcule la distance entre ce pixel d'objet de correction et le pixel central, génère un coefficient de compensation du pixel d'objet de correction en fonction de ladite distance, et exécute une correction au moyen du pixel d'entrée du pixel d'objet de correction et du coefficient de compensation. Le dispositif de correction d'assombrissement de bord d'image de l'invention permet de réduire très sensiblement le volume du système et d'améliorer l'efficacité de la correction de l'assombrissement de bord d'image.
PCT/KR2006/005845 2005-12-29 2006-12-28 Processeur d'image, dispositif et procede de compensation de l'assombrissement de bord d'image dans l'optique WO2007075066A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR10-2005-0133574 2005-12-29
KR1020050133469A KR100747729B1 (ko) 2005-12-29 2005-12-29 이미지 프로세서, 렌즈 셰이딩 보정 장치 및 그 방법
KR10-2005-0133469 2005-12-29
KR1020050133574A KR100843624B1 (ko) 2005-12-29 2005-12-29 이미지 프로세서, 렌즈 셰이딩 보정 장치 및 방법

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Publication Number Publication Date
WO2007075066A1 true WO2007075066A1 (fr) 2007-07-05

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8130292B2 (en) 2008-12-31 2012-03-06 Aptina Imaging Corporation Scene illumination adaptive lens shading correction for imaging devices
CN103369202A (zh) * 2012-04-01 2013-10-23 联咏科技股份有限公司 局部镜头阴影补偿方法
CN103761728A (zh) * 2013-12-27 2014-04-30 华为技术有限公司 一种镜头亮度衰减校正的方法及装置
CN104240207A (zh) * 2014-10-10 2014-12-24 深圳市开立科技有限公司 一种图像去阴影方法及装置
US20160028975A1 (en) * 2014-07-22 2016-01-28 SK Hynix Inc. Device and method for compressing/decompressing lens shading compensation coefficient
CN103761728B (zh) * 2013-12-27 2016-11-30 华为技术有限公司 一种镜头亮度衰减校正的方法及装置
CN110567585A (zh) * 2019-07-22 2019-12-13 河南中光学集团有限公司 一种实时红外图像“锅盖效应”抑制方法
CN112929623A (zh) * 2021-03-02 2021-06-08 卡莱特云科技股份有限公司 一种校正过程中应用于整屏的镜头阴影修复方法及装置
CN113099143A (zh) * 2021-03-29 2021-07-09 南昌欧菲光电技术有限公司 一种图像处理方法、装置、电子设备及存储介质
CN113362253A (zh) * 2021-06-30 2021-09-07 成都纵横自动化技术股份有限公司 一种图像阴影校正方法、系统及其装置

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JP2004165958A (ja) * 2002-11-13 2004-06-10 Renesas Technology Corp カメラモジュール
JP2005249846A (ja) * 2004-03-01 2005-09-15 Sony Corp 撮像装置及びその製造方法
JP2005311693A (ja) * 2004-04-21 2005-11-04 Sony Corp 固体撮像素子及びその製造方法

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JPH1051605A (ja) * 1996-05-29 1998-02-20 Fuji Electric Co Ltd シェーディング補正付き画像読取装置
KR20030005262A (ko) * 2001-02-07 2003-01-17 소니 가부시끼 가이샤 화면 보정 방법 및 촬상 장치
JP2004165958A (ja) * 2002-11-13 2004-06-10 Renesas Technology Corp カメラモジュール
JP2005249846A (ja) * 2004-03-01 2005-09-15 Sony Corp 撮像装置及びその製造方法
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Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8130292B2 (en) 2008-12-31 2012-03-06 Aptina Imaging Corporation Scene illumination adaptive lens shading correction for imaging devices
CN103369202A (zh) * 2012-04-01 2013-10-23 联咏科技股份有限公司 局部镜头阴影补偿方法
CN103761728A (zh) * 2013-12-27 2014-04-30 华为技术有限公司 一种镜头亮度衰减校正的方法及装置
CN103761728B (zh) * 2013-12-27 2016-11-30 华为技术有限公司 一种镜头亮度衰减校正的方法及装置
US9571848B2 (en) * 2014-07-22 2017-02-14 SK Hynix Inc. Device and method for compressing/decompressing lens shading compensation coefficient
US20160028975A1 (en) * 2014-07-22 2016-01-28 SK Hynix Inc. Device and method for compressing/decompressing lens shading compensation coefficient
CN104240207A (zh) * 2014-10-10 2014-12-24 深圳市开立科技有限公司 一种图像去阴影方法及装置
CN104240207B (zh) * 2014-10-10 2017-12-19 深圳开立生物医疗科技股份有限公司 一种图像去阴影方法及装置
CN110567585A (zh) * 2019-07-22 2019-12-13 河南中光学集团有限公司 一种实时红外图像“锅盖效应”抑制方法
CN112929623A (zh) * 2021-03-02 2021-06-08 卡莱特云科技股份有限公司 一种校正过程中应用于整屏的镜头阴影修复方法及装置
CN112929623B (zh) * 2021-03-02 2022-09-23 卡莱特云科技股份有限公司 一种校正过程中应用于整屏的镜头阴影修复方法及装置
CN113099143A (zh) * 2021-03-29 2021-07-09 南昌欧菲光电技术有限公司 一种图像处理方法、装置、电子设备及存储介质
CN113362253A (zh) * 2021-06-30 2021-09-07 成都纵横自动化技术股份有限公司 一种图像阴影校正方法、系统及其装置
CN113362253B (zh) * 2021-06-30 2023-10-13 成都纵横自动化技术股份有限公司 一种图像阴影校正方法、系统及其装置

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