CN101715050A - Method and system for detecting dead pixels of image sensor - Google Patents
Method and system for detecting dead pixels of image sensor Download PDFInfo
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Abstract
The invention provides a method and a system for detecting dead pixels of an image sensor. The method comprises the following steps: using the image sensor to respectively collect monochrome images corresponding to plural monochrome panels of different colors; performing pixel analysis to each monochrome image, and recording the obtained dead pixel coordinates of each monochrome image in each monochrome dead pixel list; and comparing the monochrome dead pixel lists one another to comprehensively determine the dead pixel coordinates of the image sensor. The invention also provides the system for detecting dead pixels of an image sensor, which comprises a monochrome image obtaining module, a pixel analyzing module and a dead pixel determining module. The invention can detect dead pixels under multi-color environment, can detect dead pixels of different conditions more accurately, improves accuracy of dead pixel detection, analyzes the dead pixel list of each monochrome image comprehensively, divides different dead pixel grades, and can adapt to requirements of different detection quality with strong flexibility.
Description
Technical field
The present invention relates to technical field of image processing, particularly relate to the method and system that a kind of dead pixels of image sensor is surveyed.
Background technology
Present digital video and image product all need imageing sensor to gather original image.Because technology and raw material restriction, imageing sensor often has bad point.So-called bad point does not refer to and can change with photosensitivity, presents the pixel with a kind of color (as white, black or color point) all the time, and it is insensitive to different input pictures, always the fixing pixel value of output.To going bad the detection of putting and handling the quality that can improve image greatly.
Generally, the method that dead pixels of image sensor is surveyed is: in dark fully environment (for example, can obtain dark fully environment by covering lens cap), utilize imageing sensor to obtain a monochromatic black image, the black pixel value of choice criteria is as with reference to as numerical value then, each pixel to this figure is judged, if the absolute value of the difference of the pixel value of this pixel and reference pixel value is greater than threshold value, then to putting the bad point that is judged as black image.In addition, can obtain monochromatic white image under even illumination by imageing sensor, the white pixel value of choice criteria is as with reference to as numerical value, the pixel value and the reference pixel value of each pixel are compared, obtain the bad point of white image, the detection method of its detection method and black image is similar.
The general detection method that adopts black image and white image to combine can detect bad point of black and white bad point.But for the pixel between black and white, bad point of grey for example, the difference of its pixel value and black reference pixel value difference less and the white reference pixel value is also less, therefore may be judged as normal point in testing process, and omission takes place.
In a word, the problem that needs those skilled in the art to solve at present is exactly: the method that provides a kind of dead pixels of image sensor to survey, and to avoid taking place the omission situation of bad point.
Summary of the invention
Technical problem to be solved by this invention provides the method that a kind of dead pixels of image sensor is surveyed, to solve the situation of bad some omission.
In order to address the above problem, the invention discloses the method that a kind of dead pixels of image sensor is surveyed, it is characterized in that, comprising:
Utilize imageing sensor that the monochrome panel of a plurality of different colours is gathered corresponding monochrome image respectively;
Respectively each monochrome image is carried out pixel analysis, the bad point coordinates of each monochrome image of obtaining is recorded in each monochromatic bad some tabulation;
By more described each monochromatic bad some tabulation, comprehensively determine the bad point coordinates of described imageing sensor.
Further, described pixel analysis comprises:
Each pixel component value to monochrome image sorts respectively, obtains the component value sequence of each pixel component;
Determine benchmark pixel component value and compared pixels component value for each component value sequence;
Calculate the benchmark pixel component value in each component value sequence and the difference of compared pixels component value, if the absolute value of described difference is greater than a bad some threshold value that presets, then corresponding pixel points is judged as the suspected bad point;
Contrast the suspected bad point of each pixel component, will have the bad point of the suspected bad point of same coordinate as monochrome image.
Preferably, described benchmark pixel component value determine comprise:
To be positioned at the middle same pixel component value of described component value sequence and be defined as the benchmark pixel component value; Perhaps, the pixel component value of described component value sequence is asked on average, the average pixel value that obtains is defined as the benchmark pixel component value.
Preferably, described compared pixels component value determine comprise:
Pixel component value except that the benchmark pixel component value in the described component value sequence is defined as the compared pixels component value;
Perhaps, according to pre-set criteria with sequence in the described component value sequence before with sequence after component value be defined as the compared pixels component value.
Preferably, the monochrome panel of described different colours comprises: black panel, white panel, red panel, green panel and blue panel.
Preferably, described monochrome image comprises: RGB pattern, YUV pattern, Lab pattern.
The system that the present invention also provides a kind of dead pixels of image sensor to survey is characterized in that, comprising:
The monochrome image acquisition module is used to utilize imageing sensor that the monochrome panel of a plurality of different colours is gathered corresponding monochrome image respectively;
The pixel analysis module is used for respectively each monochrome image being carried out pixel analysis, and the bad point coordinates of each monochrome image of obtaining is recorded in each monochromatic bad some tabulation;
Bad some determination module is used for comprehensively determining the bad point coordinates of described imageing sensor by more described each monochromatic bad some tabulation.
Further, described pixel analysis module comprises:
The component value sequencing unit is used for each pixel component value of monochrome image is sorted respectively, obtains the component value sequence of each pixel component;
The component value determining unit is used for determining benchmark pixel component value and compared pixels component value for each component value sequence;
Suspected bad point acquiring unit is used for calculating the difference of the benchmark pixel component value and the compared pixels component value of each component value sequence, if the absolute value of described difference is greater than a bad some threshold value that presets, then corresponding pixel points is judged as the suspected bad point;
Monochrome is the some acquiring unit badly, is used to contrast the suspected bad point of each pixel component, will have the bad point of the suspected bad point of same coordinate as monochrome image.
Preferably, described component value determining unit comprises:
The benchmark pixel component value is determined subelement, is used for being defined as the benchmark pixel component value with being positioned at the middle same pixel component value of described component value sequence; Perhaps, the pixel component value of described component value sequence is asked on average, the average pixel value that obtains is defined as the benchmark pixel component value.
The compared pixels component value is determined subelement, is used for the pixel component value of described component value sequence except that the benchmark pixel component value is defined as the compared pixels component value; Perhaps, according to pre-set criteria with sequence in the described component value sequence before with sequence after component value be defined as the compared pixels component value.
Preferably, the monochrome panel of described each different colours comprises: black panel, white panel, red panel, green panel and blue panel
Compared with prior art, the present invention has the following advantages:
The present invention makes imageing sensor pass through different monochrome panels, the monochrome image of the different colours that collects is carried out pixel analysis handle, and obtains the bad some tabulation of monochrome image, the bad point coordinates of the definite imageing sensor of bad point of last comprehensive each monochrome image.The present invention utilizes a plurality of monochrome images to detect respectively, can detect multiple bad points such as stain, white point and color point, can detect the bad point of different situations more exactly, avoid in the black and white image detection, the generation of bad some omission phenomenon has improved the accuracy that bad point detects.
Simultaneously, the present invention can carry out analysis-by-synthesis with the bad some tabulation of each monochrome image, coordinate according to pixel is put the number of times that tabulation occurs going bad of each monochrome image, divide different bad some ranks, for example, at the coordinate that the bad point of each monochrome image is tabulated and all occurred, its corresponding pixel one is decided to be bad point; At the pixel of the few coordinate correspondence of the bad some tabulation occurrence number of each monochrome image, can in detection, it be ignored according to user's different needs, be considered as normal pixel.The present invention can adapt to the different needs that detect quality, and flexibility is strong.
Description of drawings
Fig. 1 is the flow chart of the method embodiment of a kind of dead pixels of image sensor survey of the present invention;
Fig. 2 is the flow chart of the method preferred embodiment of a kind of dead pixels of image sensor survey of the present invention;
Fig. 3 is the structure chart of the system embodiment of a kind of dead pixels of image sensor survey of the present invention.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
Because the bad point of imageing sensor is insensitive to the image of input, always can export relatively more fixing pixel value, in the detection of monochrome image, situation about being more or less the same with reference pixel value may appear in the pixel value of bad point, and omission takes place.The present invention detects the method for bad point to monochrome image according to prior art, utilize transducer that the monochrome panel of a plurality of different colours is gathered a plurality of monochrome images, detect by respectively going bad of each monochrome image being put, bad point under the comprehensive comparative analysis different colours environment, thereby draw the bad point of imageing sensor, can detect the bad point of imageing sensor more exactly.
With reference to Fig. 1, show the flow chart of the method embodiment of a kind of dead pixels of image sensor survey of the present invention, comprising:
For imageing sensor to be detected, the monochrome panel of a plurality of different colours of its alignment lens is taken pictures, gather corresponding monochrome image.Adopt the monochrome panel of different colours, can obtain the photosensitive property of imageing sensor, thereby obtain the bad point of different colours environment hypograph transducer different colours.The monochrome panel of described different colours can comprise black panel, white panel and other color panel, and choosing of panel color can be chosen according to different examination criterias.If the detection quality requirement of bad point is higher, can choose the panel of a greater number different colours; If the detection quality of bad point otherwise lower then can be chosen the panel of lesser amt different colours.
Preferably, the monochrome image that collects can be the image of RGB pattern, YUV pattern, Lab pattern.The RGB pattern is to obtain color miscellaneous by variation and their stacks each other to red, green, blue three Color Channels, and R represents red R ed, and G represents green Green, and B represents blue Blue.The Lab pattern is a by illumination L and relevant color,, three key elements of b form.L represents illumination (Luminosity), is equivalent to brightness, and a represents the scope from redness to green, and b represents from yellow to blue scope.In the YUV colour model, Y represents brightness, and U and V represent aberration, constitutes two colored components.
Carry out different orderings according to the pattern difference of the monochrome image that is collected,,, respectively R component value, G component value and B component value are sorted if be the image of RGB pattern at each monochrome image; If be the image of YUV pattern, then respectively Y component value, U component value and V component value are sorted; If be the image of Lab pattern, then respectively L component value, a component value and b component value are sorted.Described sort method has multiple, as bubble sort method, selection sort, insertion ranking method etc.This step obtains the component value sequence of each pixel component of its correspondence for each monochrome image.
Determine and corresponding benchmark pixel component value of pixel component and compared pixels component value for each component value sequence of each monochrome.Determining of described benchmark pixel component value can be to be positioned at the middle same pixel component value of described component value sequence.Because the pixel of the transducer overwhelming majority is the normal pixel point, the pixel component value of normal pixel point is positioned in the middle of the component value sequence and accounts for the overwhelming majority, therefore will be positioned at the middle same pixel component value of described component value sequence and be defined as the benchmark pixel component value.Can also be that the pixel component value of described component value sequence is asked on average, the average pixel value that obtains is defined as the benchmark pixel component value.Because the pixel component value of bad point is greater than or less than the pixel component value of normal pixel point, so the mean value of each component value preface also can be used as the judgment standard of bad point.
The definite of described compared pixels component value can select the pixel component value except that the benchmark pixel component value in the described component value sequence.Can also according to pre-set criteria with sequence in the described component value sequence before with sequence after component value be defined as the compared pixels component value, wherein, choose different pre-set criteria according to different detection quality, if the detection quality requirement of bad point is higher, choose in the component value sequence before the sequence with sequence after most component value; If the detection quality requirement of bad point is lower, then choose in the component value sequence before the sequence with sequence after the component value of fraction.
Each pixel component for each monochrome image is put a threshold value to the different evil ideas that presets should be arranged, the different detection quality of set basis of the described bad some threshold value that presets is chosen different values, for example for the R component value sequence of black image, if set the higher detection quality, can choose the bad some threshold value that presets is 5, and then the benchmark pixel component value is judged as the suspected bad point with the absolute value of the difference of compared pixels component value greater than 5 o'clock corresponding pixels; If set lower detection quality, can choose the bad some threshold value that presets is 10, and then the benchmark pixel component value is judged as the suspected bad point with the absolute value of the difference of compared pixels component value greater than 10 o'clock corresponding pixels.
The suspected bad point of each pixel component with same coordinate is as the bad point of monochrome image, promptly in corresponding color environment, each pixel component value of this point does not have normal standard, and it is undesired that this point shows in corresponding monochrome image, is the bad point of monochrome image.Write down the coordinate of this pixel, corresponding different color is recorded in the tabulation of the bad point of different monochromes.
The bad point coordinates of described imageing sensor is determined according to each monochromatic bad some tabulation analysis-by-synthesis.At the number of times that each monochromatic bad some tabulation occurs, divide different bad some grades according to bad point coordinates of monochrome.At the coordinate that the bad point of each monochrome image is tabulated and all occurred, its corresponding pixel one is decided to be bad point, can be judged as senior bad point; The badly pixel of a tabulation appearance coordinate correspondence once at each monochrome image can be judged as bad point of one-level; The pixel of twice coordinate correspondence occurs, can be judged as bad point of secondary, and by that analogy.According to the needs of user's different application condition, choose the bad point of the bad point of appropriate level as imageing sensor, remaining monochromatic bad point can be ignored it in detection, is considered as normal pixel.
According to the method that above-mentioned a kind of dead pixels of image sensor is surveyed,, parallel processing can be analyzed simultaneously to each monochrome image for the monochrome image of each different colours that collects; Also serial process can be analyzed respectively to the image of each color successively.Preferably, for improving the efficient that bad point detects, each monochrome image is carried out analyzing and processing simultaneously.
The embodiment of the invention utilizes a plurality of monochrome images to detect respectively, can detect the bad point under the multiple color environment, bad point compared with solid color detects, can detect bad point more exactly, avoid the generation of bad some omission phenomenon in the black and white image detection, improved the accuracy that bad point detects.In addition, the present invention carries out analysis-by-synthesis with the badly some tabulation of each monochrome image, according to the number of times that the coordinate of pixel is tabulated and occurred at the bad point of each monochrome image, divides different bad some ranks, can adapt to the needs of different detection quality, and flexibility is strong.
With reference to Fig. 2, show the flow chart of the method preferred embodiment of a kind of dead pixels of image sensor survey of the present invention, comprising:
Step 202 utilizes imageing sensor successively to black, white, redness, green, the blue corresponding monochrome image of monochrome panel collection;
The camera lens of imageing sensor is aimed at the monochrome panel of black, white, redness, green, blueness successively and is taken pictures, and gathers the monochrome image of corresponding black, white, redness, green, blueness.The pattern of described testing image is the RGB pattern.
Step 203 is carried out bubble sort respectively to R component value, G component value and the B component value of each monochrome image, obtains the component value sequence of each pixel component;
R component value for black image carries out bubble sort, obtains the R component value sequence according to the ascending arrangement of R component value, in like manner also obtains G component value sequence and B component value sequence according to the ascending arrangement of G component value and B component value.
Simultaneously, for white, red, green, blue image, obtain R component value sequence, G component value sequence and the B component value sequence of corresponding monochrome image.
Step 204 will be positioned at same pixel component value in the middle of the described component value sequence as the benchmark pixel component value, with the pixel component value as a comparison of the pixel component value except that the benchmark pixel component value in the described component value sequence;
For example, the R component value sequence of black image is:
[236，240，242，245，245，245，245，245，245，245，245，246，252，255]
G component value sequence is:
[237，243，246，247，247，247，247，247，247，247，247，249，252，255]
B component value sequence is:
[236，240，242，245，245，245，245，245，245，245，245，246，252，255]
Then choose 245 benchmark R component values, 236,240,242,246,252,255 comparison G component values as black image as black image; Choose 247 benchmark G component values, 237,243,246249,252,255 comparison component values as black image as black image; Choose 245 benchmark B component values, 236,240,242,246,252,255 comparison B component values as black image as black image.
In like manner, the definite and black image of the benchmark pixel component value of white, redness, green, blue image and compared pixels component value is definite similar.
Step 205 is calculated the benchmark pixel component value in each component value sequence and the difference of compared pixels component value, if the absolute value of described difference is greater than a bad some threshold value that presets, then corresponding pixel points is judged as the suspected bad point;
In the present embodiment.For the R component value sequence of black image, benchmark R component value is respectively 9,5,3,1,6,10 with the difference that compares the R component value.The described bad some threshold value that presets gets 4, judges that then difference is 9,5,6, and the point of 10 correspondences is the suspect pixel point, is designated as suspected bad point a, b, c, d herein.
For the G component value sequence of black image, benchmark G component value is respectively 10,4,1,2,5,8 with the difference that compares the G component value.A described bad some threshold value that presets gets 4, judges that then difference is that the point of 10,5,8 correspondences is the suspect pixel point, is designated as suspected bad point e, f, g herein.
For the B component value sequence of black image, benchmark B component value is respectively 9,6,2,2,5,10 with the difference that compares the B component value.The described bad some threshold value that presets gets 4, judges that then difference is 9,6,5, and the point of 10 correspondences is the suspect pixel point, is designated as suspected bad point h, i, j, k herein.
Accordingly, the judgement of the suspected bad point of each pixel component of white, redness, green, blue image is same as above.
Step 206 for each monochrome image, is recorded in the coordinate of the suspected bad point of R, G, B component the ascending of absolute value by described difference in corresponding R, G, the bad some tabulation of B;
Size according to the absolute value of the difference of pixel correspondence in the step 205, pressing the order of b, c, a, d goes bad the coordinate record of corresponding points in the some tabulation at R, the order of pressing f, g, e with the coordinate record of corresponding points in the bad some tabulation of G, the order of press j, i, h, k with the coordinate record of corresponding points in the bad point of G is tabulated.
Accordingly, the record of white, redness, green, blue image R, G, the bad some tabulation of B is same as above.
For black image, contrast R, G, the bad some tabulation of B in the present embodiment, have identical coordinate as if some a, e, h, are designated as an A; Point b, g, k have identical coordinate, are designated as a B; Point c, g, i have identical coordinate, are designated as a C, then put A, B, C is the bad point of black image, and A, B, C are recorded in the bad some tabulation of black.
Accordingly, choose the bad point of white, redness, green, blue image and being recorded in the corresponding monochromatic bad some tabulation.
Step 208 by more described each monochromatic bad some tabulation, is comprehensively determined the bad point coordinates of described imageing sensor.
Relatively the bad point of the monochrome of black, white, redness, green, blue image is tabulated, and determines the bad point coordinates of imageing sensor according to the standard that detects.In the present embodiment, the coordinate of postulated point A has occurred five times in the tabulation of described five monochromatic bad points, and the coordinate of some B has occurred four times in the tabulation of described five monochromatic bad points, and the coordinate of some C has only occurred once in the tabulation of the bad point of black.If examination criteria is had relatively high expectations, be decided to be the coordinate that in the tabulation of the bad point of monochrome, occurred at all, then judging point A, B, C are the bad point of imageing sensor; If examination criteria is the coordinate that occurs in the tabulation of the bad point of monochrome more than three times, then judging point A and some B are the bad point of imageing sensor; If it is lower that examination criteria requires, be decided to be the coordinate that in the tabulation of the bad point of monochrome, all occurs, then judging point A is the bad point of imageing sensor.The judgement of other pixels as mentioned above.
According to the embodiment of the invention analysis-by-synthesis is carried out in the bad some tabulation of each monochrome image, judge the number of times of the coordinate of pixel in the bad some tabulation appearance of each monochrome image, thereby judge the bad point of imageing sensor, flexibility is strong, can satisfy the needs of different examination criterias.
With reference to Fig. 3, show the structure chart of the system embodiment of a kind of dead pixels of image sensor survey of the present invention, it is characterized in that, comprising:
Monochrome image acquisition module 301 is used to utilize imageing sensor that the monochrome panel of a plurality of different colours is gathered corresponding monochrome image respectively;
Bad some determination module 303 is used for comprehensively determining the bad point coordinates of described imageing sensor by more described each monochromatic bad some tabulation.
Further, described pixel analysis module 302 comprises:
Component value sequencing unit 3021 is used for each pixel component value of monochrome image is sorted respectively, obtains the component value sequence of each pixel component;
Component value determining unit 3022 is used for determining benchmark pixel component value and compared pixels component value for each component value sequence;
Suspected bad point acquiring unit 3023 is used for calculating the difference of the benchmark pixel component value and the compared pixels component value of each component value sequence, if the absolute value of described difference is greater than a bad some threshold value that presets, then corresponding pixel points is judged as the suspected bad point;
Monochrome is some acquiring unit 3024 badly, is used to contrast the suspected bad point of each pixel component, will have the bad point of the suspected bad point of same coordinate as monochrome image.
Further, described component value determining unit 3022 comprises:
The benchmark pixel component value is determined subelement 30221, is used for being defined as the benchmark pixel component value with being positioned at the middle same pixel component value of described component value sequence; Perhaps, the pixel component value of described component value sequence is asked on average, the average pixel value that obtains is defined as the benchmark pixel component value.
The compared pixels component value is determined subelement 30222, is used for the pixel component value of described component value sequence except that the benchmark pixel component value is defined as the compared pixels component value; Perhaps, according to pre-set criteria with sequence in the described component value sequence before with sequence after component value be defined as the compared pixels component value.
Preferably, the monochrome panel of described each different colours comprises: black panel, white panel, red panel, green panel and blue panel.
Monochrome image acquisition module 301 is by the corresponding monochrome image of monochrome panel collection of above-mentioned each different colours.302 pairs of above-mentioned monochrome images of pixel analysis module are analyzed, at first each pixel component value to monochrome image compares judgement, draw the suspected bad point of respective components value, contrast the suspected bad point of each pixel component then, obtain the bad point of monochrome image, be recorded in then in each monochromatic bad some tabulation.At last, a bad determination module 303 more described each monochromatic bad some tabulations according to the needs of difference detection quality, are comprehensively judged, determine the bad point coordinates of imageing sensor.
Each embodiment in this specification all adopts the mode of going forward one by one to describe, and what each embodiment stressed all is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.For system embodiment, because it is similar substantially to method embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of method embodiment.
More than method and system that a kind of dead pixels of image sensor provided by the present invention is surveyed, be described in detail, used specific case herein principle of the present invention and execution mode are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (10)
1. the method that dead pixels of image sensor is surveyed is characterized in that, comprising:
Utilize imageing sensor that the monochrome panel of a plurality of different colours is gathered corresponding monochrome image respectively;
Respectively each monochrome image is carried out pixel analysis, the bad point coordinates of each monochrome image of obtaining is recorded in each monochromatic bad some tabulation;
By more described each monochromatic bad some tabulation, comprehensively determine the bad point coordinates of described imageing sensor.
2. method according to claim 1 is characterized in that, described pixel analysis comprises:
Each pixel component value to monochrome image sorts respectively, obtains the component value sequence of each pixel component;
Determine benchmark pixel component value and compared pixels component value for each component value sequence;
Calculate the benchmark pixel component value in each component value sequence and the difference of compared pixels component value, if the absolute value of described difference is greater than a bad some threshold value that presets, then corresponding pixel points is judged as the suspected bad point;
Contrast the suspected bad point of each pixel component, will have the bad point of the suspected bad point of same coordinate as monochrome image.
3. method according to claim 2 is characterized in that, the determining of described benchmark pixel component value comprises:
To be positioned at the middle same pixel component value of described component value sequence and be defined as the benchmark pixel component value; Perhaps, the pixel component value of described component value sequence is asked on average, the average pixel value that obtains is defined as the benchmark pixel component value.
4. method according to claim 3 is characterized in that, the determining of described compared pixels component value comprises:
Pixel component value except that the benchmark pixel component value in the described component value sequence is defined as the compared pixels component value;
Perhaps, according to pre-set criteria with sequence in the described component value sequence before with sequence after component value be defined as the compared pixels component value.
5. method according to claim 1 is characterized in that, the monochrome panel of described different colours comprises: black panel, white panel, red panel, green panel and blue panel.
6. method according to claim 1, its feature exists, and described monochrome image comprises: RGB pattern, YUV pattern, Lab pattern.
7. the system that dead pixels of image sensor is surveyed is characterized in that, comprising:
The monochrome image acquisition module is used to utilize imageing sensor that the monochrome panel of a plurality of different colours is gathered corresponding monochrome image respectively;
The pixel analysis module is used for respectively each monochrome image being carried out pixel analysis, and the bad point coordinates of each monochrome image of obtaining is recorded in each monochromatic bad some tabulation;
Bad some determination module is used for comprehensively determining the bad point coordinates of described imageing sensor by more described each monochromatic bad some tabulation.
8. system according to claim 7 is characterized in that, described pixel analysis module comprises:
The component value sequencing unit is used for each pixel component value of monochrome image is sorted respectively, obtains the component value sequence of each pixel component;
The component value determining unit is used for determining benchmark pixel component value and compared pixels component value for each component value sequence;
Suspected bad point acquiring unit is used for calculating the difference of the benchmark pixel component value and the compared pixels component value of each component value sequence, if the absolute value of described difference is greater than a bad some threshold value that presets, then corresponding pixel points is judged as the suspected bad point;
Monochrome is the some acquiring unit badly, is used to contrast the suspected bad point of each pixel component, will have the bad point of the suspected bad point of same coordinate as monochrome image.
9. system according to claim 8 is characterized in that, described component value determining unit comprises:
The benchmark pixel component value is determined subelement, is used for being defined as the benchmark pixel component value with being positioned at the middle same pixel component value of described component value sequence; Perhaps, the pixel component value of described component value sequence is asked on average, the average pixel value that obtains is defined as the benchmark pixel component value.
The compared pixels component value is determined subelement, is used for the pixel component value of described component value sequence except that the benchmark pixel component value is defined as the compared pixels component value; Perhaps, according to pre-set criteria with sequence in the described component value sequence before with sequence after component value be defined as the compared pixels component value.
10. system according to claim 7 is characterized in that, the monochrome panel of described each different colours comprises: black panel, white panel, red panel, green panel and blue panel.
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Cited By (24)
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