CN1897643A - Method and system for correcting color-image bad point - Google Patents
Method and system for correcting color-image bad point Download PDFInfo
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- CN1897643A CN1897643A CNA2005100843145A CN200510084314A CN1897643A CN 1897643 A CN1897643 A CN 1897643A CN A2005100843145 A CNA2005100843145 A CN A2005100843145A CN 200510084314 A CN200510084314 A CN 200510084314A CN 1897643 A CN1897643 A CN 1897643A
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Abstract
The method thereof comprises: firstly restoring the Bell image captured from an image sensor into the red, green and blue colors corresponding to each pixel by using an interpolation approach; then the image is translated into the color-difference domain; on the color-difference domain, checking the dead pixel; using the pixels neighboring the dead pixel to correct the dead pixel. Because the pixel checking is made at color-difference domain such that the dead pixel is easier to be distinguished out than it's in RGB domain.
Description
Technical field
The present invention relates to a kind ofly, refer to a kind of bad point calibration method and system of chromatic image especially about the image processing technique field.
Background technology
One chromatic image treatment system mainly is made up of an image acquisition unit, an image reduction and processing unit, an image display cell and an image compression unit.Image acquisition unit is constituted with Image sensor apparatus (image sensor).It is a photosensory assembly of being formed two-dimensional array with several light sensitive diodes (photo-diodes).This photosensory assembly is converted to electronic signal with the luminous intensity of institute's sensing, does relevant image processing for image reduction and processing unit.But, often cause the light sensitive diode in the Image sensor apparatus situation devious to produce owing to inevitable error on technology.Just Image sensor apparatus can comprise a plurality of bad points (defective pixel) and can't be suitable carry out correct photoinduction conversion.And on institute's picked image, be formed with the phenomenon of dim spot (dark dots) or bright spot (bright dots).
At the problems referred to above,, in 741, No. 754 patent case bulletins, directly Image sensor apparatus is done testing electrical property, and obtain going bad the position of point and being recorded in the defect map (defect map) in U.S. USP6.When handling image,, and utilize the contiguous pixel value of bad point that this evil idea point is done correction according to the position of bad point on the defect map.Yet if this defect map is not upgraded after the test record again, the bad point for light sensitive diode is degenerated and produced produces situation about can't proofread and correct.
At the problems referred to above, in No. 2004/0119856 patent case of U.S. US was open, it carried out the detecting of bad point in real time on the image of Bel (bayer) pattern, can improve the above-mentioned shortcoming of utilizing the bad point of defect map record.Yet it carries out the detecting of bad point on the image of Bel's pattern, can't detect bad point effectively, improves the space so the bad point calibration method and system of known chromatic image still have.
Summary of the invention
The bad point calibration method and system that the purpose of this invention is to provide a kind of chromatic image, with solve degenerate because of light sensitive diode that institute produced can't calibration problem, solve the problem that known technology can't detect the evil idea point effectively simultaneously.
According to a characteristic of the present invention, be the bad point calibration method that proposes a kind of chromatic image, in order to detect the bad point in the digitized video and to be proofreaied and correct, this method comprises the following step: (A) receive a pixel and neighborhood pixels in this digitized video; (B) this pixel benefit is put red into having, green and Lan Sanse; (C), produce one first color difference signal and one second color difference signal according to red, the green and Lan Sanse of this pixel; (D) this first and second color difference signal is carried out Filtering Processing, produce one the 3rd color difference signal and one the 4th color difference signal; (E) if the 3rd color difference signal or the 4th color difference signal, determine that this pixel is a bad point less than a threshold value; (F) if judge that this pixel is a bad point, calculate the local edge of this pixel and neighborhood pixels, and select for use the neighborhood pixels value that this evil idea point pixel is proofreaied and correct according to this local edge.
According to another characteristic of the present invention, be the compensating bad point system that proposes a kind of chromatic image, to detect the bad point in the digitized video and to be proofreaied and correct, this system comprises one and mends point apparatus, an aberration generation device, a bad some arrangement for detecting and a bad point calibration device.This benefit point apparatus receives a pixel and the neighborhood pixels in this digitized video, this pixel is mended put red into having, green and Lan Sanse; This aberration generation device is coupled to this benefit point apparatus, according to red, the green and Lan Sanse of this pixel, produces one first color difference signal and one second color difference signal; This evil idea point arrangement for detecting is coupled to this aberration generation device, so that this first and second color difference signal is carried out Filtering Processing, producing one the 3rd color difference signal and one the 4th color difference signal,, produce a bad some signal when the 3rd color difference signal or the 4th color difference signal during less than a threshold value; This bad point calibration device is coupled to this evil idea point arrangement for detecting, according to this bad some signal, calculates the local edge of this pixel and neighborhood pixels, and selects for use the neighborhood pixels value that this evil idea point pixel is proofreaied and correct according to this local edge.
Because modern design of the present invention can provide on the industry and utilize, and truly have the enhancement effect, so apply for patent of invention in accordance with the law.
Description of drawings
Fig. 1 is the calcspar of the compensating bad point system of chromatic image of the present invention.
Fig. 2 is the benefit point schematic diagram of colored Bel's pattern image of the present invention.
Fig. 3 is the circuit diagram of aberration generation device of the present invention.
Fig. 4 is the calcspar of bad some arrangement for detecting of the present invention.
Fig. 5 is the calcspar of threshold value comparator of the present invention.
Fig. 6 is the schematic diagram of threshold value and brightness value.
Fig. 7 is the calcspar of another embodiment of the present invention.
The figure number explanation
Bad some arrangement for detecting 130 bad point calibration devices 140
First subtracter, 121 second subtracters 122
First median filter, 410 first low pass filters 420
The 3rd subtracter 430 second median filters 440
Second low pass filter 450 the 4th subtracter 460
First comparator, 520 second comparators 530
Embodiment
Relevant preferred embodiment explanation of the present invention please be with reference to the calcspar of Fig. 1 demonstration.It is in order to detect the bad point in the digitized video and to be proofreaied and correct, and this digitized video is a Bel (bayer) pattern image.This system comprises one and mends point apparatus 110, an aberration generation device 120, one a bad some arrangement for detecting 130 and a bad point calibration device 140.
It receives a pixel in this digitized video (i, j) and neighborhood pixels, (i j) mends and puts red into having, green and blue tristimulus signal with this pixel to mend point apparatus 110.Fig. 2 is the benefit point schematic diagram of colored Bel's pattern image.The arrangement mode of pixel is with a row GRGRGR, and a row BGBGBG arranges formation alternately.Each pixel only is red, green or blue one of them color-values.So need in mending point apparatus 110, utilize the method for mending point to rebuild non-existent other color-values for each pixel.
Bad some arrangement for detecting 130 is coupled to this aberration generation device 120, so that this first color difference signal U ' and the second color difference signal V ' are carried out Filtering Processing, to produce one the 3rd color difference signal U " and one the 4th color difference signal V ".As the 3rd color difference signal U " or the 4th color difference signal V " during less than a threshold value, produce a bad some signal.
Fig. 4 is the calcspar of bad some arrangement for detecting 130, and it comprises one first median filter (medianfilter) 410, one first low pass filter 420, one the 3rd subtracter 430, one second median filter 440, one second low pass filter 450, one the 4th subtracter 460 and a threshold value comparator 470.
First median filter 410 carries out medium filtering with this first color difference signal U ' to be handled.It is with pixel (i, j) and the ascending arrangement of the first color difference signal U ' of neighborhood pixels.For example: pixel (i, j) and the first color difference signal U ' of neighborhood pixels be respectively 135,140,163,157,160,155,150,142,140}, after handling via this first median filter 410, then produce 135,140,140,142,150,155,157,160,163}.
First low pass filter 420 is coupled to this first median filter 410, will carry out low-pass filtering treatment through the signal of medium filtering, produces a multicolored difference signal.The coefficient of first low pass filter 420 can be
Just, the result after first median filter 410 is handled 135,140,140,142,150,155,157,160,163}, handle via first low pass filter 420 again, multicolored difference signal value that produces is:
{140×1+142×4+150×6+155×4+157×1}/16。
The 3rd subtracter 430 is coupled to this first low pass filter 410, and U ' deducts this multicolored difference signal with this first color difference signal, to produce the 3rd color difference signal U ".
Second median filter 440 carries out medium filtering with this second color difference signal V ' to be handled.Second low pass filter 450 is coupled to this second median filter 440, will carry out low-pass filtering treatment through the signal of medium filtering, produces one the 6th color difference signal.The 4th subtracter 460 is coupled to this second low pass filter 450, and V ' deducts the 6th color difference signal with this second color difference signal, to produce the 4th color difference signal V ".
Table look-up device 510 is coupled to this benefit point apparatus, and (i, green value j) produces this threshold value according to this pixel.(i, brightness value j) (green value) is relevant for the size of this threshold value and this pixel.Fig. 6 is the schematic diagram of threshold value and brightness value (green value).When brightness value is bigger, threshold value is bigger, and when brightness value is littler, threshold value is littler.Just when illuminated state zone has bigger difference (Diff), just be judged to be bad point.Then less difference need be arranged at dark state zone, just be judged to be bad point.
Bad point calibration device 140 is coupled to this evil idea point arrangement for detecting 130 and this benefit point apparatus 110, according to this first index signal 540 or second index signal 550, calculate this pixel (i, j) and the local edge of neighborhood pixels.Select for use the neighborhood pixels value that this evil idea point pixel is proofreaied and correct according to this local edge again.
Fig. 7 is the calcspar of another embodiment of the present invention.This bad point calibration device 140 receive a pixel in Bel's pattern digitized video (i, j) and neighborhood pixels, and according to the output signal of this bad some arrangement for detecting 130, calculate this pixel (i, j) and the local edge of neighborhood pixels.Select for use the neighborhood pixels value that this evil idea point pixel is proofreaied and correct according to this local edge again.
The present invention carries out badly some detecting at aberration field (domain) in real time, and it utilizes the benefit point methods to restore pairing red, the green and Lan Sanse of each pixel earlier with Bel (bayer) the pattern image that Image sensor apparatus captured.The video conversion that will have red, green and Lan Sanse again is to the aberration field.On aberration (chroma) field, carry out the detecting of bad point.At last, utilize the pixel value of neighborhood pixels that bad point is done correction.The bad point calibration system of chromatic image of the present invention is converted to the aberration field with pixel by the RGB field earlier, carries out bad some detecting again.Owing to go bad some detecting in the aberration field, can in the RGB field, be easier to evil idea point is distinguished.Therefore can judge accurately whether the pixel that desire is handled is bad point.
The technology of the present invention can avoid known technology to utilize the problem of the bad point of defect map record, also can solve known technology can't detect bad point effectively on Bel's pattern image problem.
Above-mentioned preferred embodiment only is to give an example for convenience of description, and the protection range that the present invention advocated should be as the criterion so that claim of the present invention is described, but not only limits to the foregoing description.
Claims (14)
1. the bad point calibration method of a chromatic image is put and is proofreaied and correct in order to detect going bad in the digitized video, it is characterized in that this method comprises the following step:
(A) receive a pixel and neighborhood pixels in this digitized video;
(B) this pixel benefit is put red into having, green and Lan Sanse;
(C), produce one first color difference signal and one second color difference signal according to red, the green and Lan Sanse of this pixel;
(D) this first and second color difference signal is carried out Filtering Processing, produce one the 3rd color difference signal and one the 4th color difference signal;
(E) if the 3rd color difference signal or the 4th color difference signal, determine that this pixel is a bad point less than a threshold value; And
(F) if judge that this pixel is a bad point, calculate the local edge of this pixel and neighborhood pixels, and select for use the neighborhood pixels value that this evil idea point pixel is proofreaied and correct according to this local edge.
2. the method for claim 1 is characterized in that, the first color difference signal value in this step (C) deducts green value for the red value of this pixel.
3. the method for claim 1 is characterized in that, the second color difference signal value in this step (C) deducts green value for the blue valve of this pixel.
4. the method for claim 1 is characterized in that, the Filtering Processing of this step (D) is this first color difference signal to be carried out medium filtering handle.
5. method as claimed in claim 4, it is characterized in that the Filtering Processing of this step (D) is that the signal after this medium filtering is handled carries out low-pass filtering treatment, produces a multicolored difference signal, again this first color difference signal is deducted this multicolored difference signal, to produce the 3rd color difference signal.
6. the method for claim 1 is characterized in that, the Filtering Processing of this step (D) is this second color difference signal to be carried out medium filtering handle.
7. method as claimed in claim 6, it is characterized in that the Filtering Processing of this step (D) is that the signal after this medium filtering is handled carries out low-pass filtering treatment, produces one the 6th color difference signal, again this second color difference signal is deducted the 6th color difference signal, to produce the 4th color difference signal.
8. the method for claim 1 is characterized in that, the threshold value of this step (D) is to decide according to the green value of this pixel.
9. the compensating bad point system of a chromatic image puts and is corrected to detect going bad in the digitized video, it is characterized in that this system comprises:
One mends point apparatus, and it receives a pixel and neighborhood pixels in this digitized video, this pixel is mended put red into having, green and Lan Sanse;
One aberration generation device is coupled to this benefit point apparatus, according to red, the green and Lan Sanse of this pixel, produces one first color difference signal and one second color difference signal;
One bad some arrangement for detecting, be coupled to this aberration generation device, so that this first and second color difference signal is carried out Filtering Processing, to produce one the 3rd color difference signal and one the 4th color difference signal, when the 3rd color difference signal or the 4th color difference signal during, produce a bad some signal less than a threshold value; And
One bad point calibration device is coupled to this evil idea point arrangement for detecting, according to this bad some signal, calculates the local edge of this pixel and neighborhood pixels, and selects for use the neighborhood pixels value that this evil idea point pixel is proofreaied and correct according to this local edge.
10. system as claimed in claim 9 is characterized in that, this aberration generation device also comprises one first subtracter, and the red value of this pixel is deducted green value, produces this first color difference signal.
11. system as claimed in claim 9 is characterized in that, this aberration generation device also comprises one second subtracter, and the blue valve of this pixel is deducted green value, produces this second color difference signal.
12. system as claimed in claim 9 is characterized in that, this evil idea point arrangement for detecting also comprises:
One first median filter, it carries out medium filtering with this first color difference signal and handles;
One first low pass filter is coupled to this first median filter, will carry out low-pass filtering treatment through the signal of medium filtering, produces a multicolored difference signal; And
One the 3rd subtracter is coupled to this first low pass filter, and this first color difference signal is deducted this multicolored difference signal, to produce the 3rd color difference signal.
13. system as claimed in claim 12 is characterized in that, this evil idea point arrangement for detecting also comprises:
One second median filter, it carries out medium filtering with this second color difference signal and handles;
One second low pass filter is coupled to this second median filter, will carry out low-pass filtering treatment through the signal of medium filtering, produces one the 6th color difference signal; And
One the 4th subtracter is coupled to this second low pass filter, and this second color difference signal is deducted the 6th color difference signal, to produce the 4th color difference signal.
14. system as claimed in claim 13 is characterized in that, this evil idea point arrangement for detecting also comprises:
One table look-up device is coupled to this benefit point apparatus, produces this threshold value according to the green value of this pixel;
One first comparator is coupled to the 3rd subtracter and this table look-up device, so that the 3rd color difference signal is compared greater than this threshold value, when the 3rd color difference signal during greater than this threshold value, produces this evil idea point signal; And
One second comparator is coupled to the 4th subtracter and this table look-up device, so that the 4th color difference signal is compared greater than this threshold value, when the 4th color difference signal during greater than this threshold value, produces this evil idea point signal.
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Cited By (7)
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| CN101459765B (en) * | 2007-12-13 | 2010-11-17 | 广达电脑股份有限公司 | Method and circuit for correcting dead pixel in video signal |
| CN102290017A (en) * | 2010-11-30 | 2011-12-21 | 广州杰赛科技股份有限公司 | Display device dead pixel detection method and system thereof |
| CN105139800A (en) * | 2015-08-28 | 2015-12-09 | 西安诺瓦电子科技有限公司 | Abnormal lamp point processing method after correction of LED display device |
| CN105516694A (en) * | 2015-12-08 | 2016-04-20 | 上海集成电路研发中心有限公司 | Method and system for avoiding dark corner of lens |
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| US6741754B2 (en) * | 2001-02-19 | 2004-05-25 | Eastman Kodak Company | Correcting for defects in a digital image taken by an image sensor caused by pre-existing defects in two pixels in adjacent columns of an image sensor |
| JP4194336B2 (en) * | 2002-07-25 | 2008-12-10 | 富士通マイクロエレクトロニクス株式会社 | Semiconductor integrated circuit, defective pixel correction method, and image processor |
| CN1259795C (en) * | 2003-07-25 | 2006-06-14 | 金宝电子工业股份有限公司 | Digital visual signal processing circuit with high dynamic range and circuit element therein |
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| CN101459765B (en) * | 2007-12-13 | 2010-11-17 | 广达电脑股份有限公司 | Method and circuit for correcting dead pixel in video signal |
| CN102290017A (en) * | 2010-11-30 | 2011-12-21 | 广州杰赛科技股份有限公司 | Display device dead pixel detection method and system thereof |
| CN105139800A (en) * | 2015-08-28 | 2015-12-09 | 西安诺瓦电子科技有限公司 | Abnormal lamp point processing method after correction of LED display device |
| CN105139800B (en) * | 2015-08-28 | 2017-11-17 | 西安诺瓦电子科技有限公司 | Abnormal lamp point processing method after LED display correction |
| CN105516694A (en) * | 2015-12-08 | 2016-04-20 | 上海集成电路研发中心有限公司 | Method and system for avoiding dark corner of lens |
| CN106937064A (en) * | 2015-12-29 | 2017-07-07 | 展讯通信（上海）有限公司 | The detection method of digital picture bad point, bearing calibration and device |
| CN106937064B (en) * | 2015-12-29 | 2019-05-10 | 展讯通信（上海）有限公司 | Detection method, bearing calibration and the device of digital picture bad point |
| CN112088527A (en) * | 2018-06-12 | 2020-12-15 | 罗姆股份有限公司 | Camera system, controller thereof, automobile, and deserializer circuit |
| CN112544074A (en) * | 2020-04-13 | 2021-03-23 | 深圳市大疆创新科技有限公司 | Image processing method, image processing device, electronic equipment and storage medium |
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