CN107770410A - The adaptive corrective of colored area array CCD - Google Patents
The adaptive corrective of colored area array CCD Download PDFInfo
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- CN107770410A CN107770410A CN201710957258.4A CN201710957258A CN107770410A CN 107770410 A CN107770410 A CN 107770410A CN 201710957258 A CN201710957258 A CN 201710957258A CN 107770410 A CN107770410 A CN 107770410A
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- array ccd
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
- H04N1/6002—Corrections within particular colour systems
- H04N1/6008—Corrections within particular colour systems with primary colour signals, e.g. RGB or CMY(K)
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
- H04N1/6077—Colour balance, e.g. colour cast correction
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/70—SSIS architectures; Circuits associated therewith
- H04N25/71—Charge-coupled device [CCD] sensors; Charge-transfer registers specially adapted for CCD sensors
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- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Color Television Image Signal Generators (AREA)
Abstract
The invention discloses the adaptive corrective of colored area array CCD,Including two parts of area array CCD heterogeneity detecting system and correcting algorithm,The area array CCD heterogeneity detecting system detects to the uniformity of area array CCD,The correcting algorithm carries out calculating correction to area array CCD heterogeneity,According to the method for the adaptive corrective of colored area array CCD,And R is obtained using least square fitting method,G,The responsiveness curve of each color channel pixels of B,Simultaneously obtain etc. energy input when each interchannel color balance proportionality coefficient,It is proposed based on radiance inverting and wait the Non-uniformity Correction Algorithm of energy hue balance parameters,Color selector image is corrected using the algorithm,Image integral color is uniform after correction,Because colour cast phenomenon caused by heterogeneity be improved significantly,And the average gradient value of each color channel of image increases after correcting,Illustrate that its image detail information is more abundant,The precision of color separation of color selector can be effectively improved.
Description
Technical field
The present invention relates to colored area array CCD technical field, the adaptive corrective of specially colored area array CCD.
Background technology
Because color selector is big using the area array CCD detector pixel scale of large format so that in Nonuniformity Correction process
Middle data processing amount is huge, and in its Bayer array each color channel of R, G, B pixel response output characteristics it is different, it is non-
Homogeneity correction result influences whether follow-up interpolation processing effect, deals with improperly and easily produces colour cast problem, and above-mentioned factor causes
Difficulty of the colored wide array aerial camera when carrying out Nonuniformity Correction increases.The country is in terms of Nonuniformity Correction at present
Research be TDI type ccd detectors in infrared band, or for visible light wave range mostly, this two classes detector pixel number
Scale is smaller, processing speed is quick, and the traditional two point correction of application or Supplements can reach good calibration result.For
Research in terms of wide array camera, the especially Nonuniformity Correction of Bayer color filter arrays camera is few, without slave phase
Machine entirety angle carries out heterogeneity impact analysis and is corrected.This patent is with the imaging of Bayer array wide array cameras
Based on model, with reference to the camera rdaiation response performance data obtained based on Calibration Method in laboratory, with spectral response
Output valve highest color channel is proposed based on radiance inverting and the school for waiting energy hue to balance as reference passage
Normal operation method, and camera practical flight image is corrected using the algorithm, image overall brightness is balanced after correction, and
Uniform hue, due to introducing color balance coefficient in calibration model, the colour cast problem of image after correction is avoided, should in practice
It is more convenient with the middle algorithm than radiance inverting is used only.
The content of the invention
It is an object of the invention to provide the adaptive corrective of colored area array CCD, solve proposed in background technology
Problem.
To achieve the above object, the present invention provides following technical scheme：The adaptive corrective of colored area array CCD, including face
Two parts of battle array CCD heterogeneities detecting system and correcting algorithm, the area array CCD heterogeneity detecting system is to area array CCD
Uniformity detected, the correcting algorithm carries out calculating correction to area array CCD heterogeneity.
As a kind of preferred embodiment of the present invention, the area array CCD heterogeneity detection is by LED light source, linear array
CCD, signal processing circuit, image capturing system and luminance meter are formed, the luminance meter as described in Serial regulation LED light source it is bright
Degree, while the numerical value of the line array CCD now is read by described image acquisition system, it is repeated several times, you can asked using data
Go out CCD correction coefficient, this coefficient is stored on host computer, when using color selector every time, this coefficient is sent by host computer
To FPGA channel plates, FPGA can be by the correcting algorithm, the numerical value after output calibration, the face battle array unlike linear array
CCD imaging system is a plane, so there is relation position of the coefficient of correction also with this CCD phase member, we can be CCD
Imaging plane is divided into several regions.
As a kind of preferred embodiment of the present invention, heterogeneity of the correcting algorithm for colored CCD detector
Correction process, after colour-balance adjustment, each primary colours have identical quantum efficiency, increase the balanced proportions coefficient of interchannel,
Formula is:In DN=kcAcL+N formulas:Kc is the balanced proportions coefficient of each color channel, according to radiation calibration result, for integrating sphere
The radiance of output, is normalized on the basis of red channel, corresponding different radiance inputs, green after processing,
Blue channel is exported than shown in situation, using form of the least square fitting for kcx+b with red channel gray scale, and selection two is bright
Degree differs greatly but does not occur the integrating sphere image of saturation pixel as reference picture, asks for each pixel in image to be corrected
Corresponding inverting radiance, radiance inversion matrix is formed, and according to inverting brightness case, it is unsaturated with pixel after correction
For principle, appropriate correction coefficient is chosen, balance correction coefficient is finally introducing, is corrected according to formula, obtains correction chart picture,
L (i, j) expression formula is corresponding to any of which pixel:
L=[L2 (DN-DN1)-L1 (DN-DN2)]/(DN2-DN1).
Compared with prior art, beneficial effects of the present invention are as follows：
R, G, B colors are obtained according to the method for the adaptive corrective of colored area array CCD, and using least square fitting method
The responsiveness curve of color passage pixel, at the same obtain etc. energy input when each interchannel color balance proportionality coefficient, according to each
Pixel point response characteristic and each interchannel color balance relation, propose based on radiance inverting and wait energy hue balance parameters
Non-uniformity Correction Algorithm, color selector image is corrected using the algorithm, image integral color is uniform after correction, because non-
Colour cast phenomenon caused by uniformity be improved significantly, and the average gradient value of each color channel of image has carried after correcting
Height, illustrate that its image detail information is more abundant, the precision of color separation of color selector can be effectively improved.
Brief description of the drawings
Fig. 1 is other passages ash after being normalized using reference channel of the adaptive corrective of the colored area array CCD of the present invention
Degree output schematic diagram；
Fig. 2 is that the balanced proportions Coefficient Fitting of the adaptive corrective of the colored area array CCD of the present invention and fitting parameter assess knot
Composition.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
Fig. 1-2 is referred to, the present invention provides a kind of technical scheme：The adaptive corrective of colored area array CCD, including face battle array
Two parts of CCD heterogeneities detecting system and correcting algorithm, it is characterised in that：The area array CCD heterogeneity detecting system
The uniformity of area array CCD is detected, the correcting algorithm carries out calculating correction to area array CCD heterogeneity, according to colour
The method of the adaptive corrective of area array CCD, and using the responsiveness of least square fitting method acquisition each color channel pixel of R, G, B
Curve, at the same when the energy input such as obtaining each interchannel color balance proportionality coefficient, according to each pixel point response characteristic and each
Interchannel color balance relation, propose based on radiance inverting and wait the Nonuniformity Correction of energy hue balance parameters to calculate
Method, color selector image is corrected using the algorithm, image integral color is uniform after correction, because inclined caused by heterogeneity
Color phenomenon be improved significantly, and the average gradient value of each color channel of image increases after correcting, and illustrates that its image is thin
Save information more to enrich, the precision of color separation of color selector can be effectively improved.
Area array CCD heterogeneity detection by LED light source, line array CCD, signal processing circuit, image capturing system and
Luminance meter is formed, the brightness of luminance meter LED light source as described in Serial regulation, while is read by described image acquisition system
The numerical value of the line array CCD now, is repeated several times, you can CCD correction coefficient is obtained using data, this is stored on host computer
Coefficient, when using color selector every time, the correction can be passed through to FPGA channel plates, FPGA by sending this coefficient by host computer
Algorithm, the numerical value after output calibration, the imaging system of area array CCD unlike linear array is a plane, so correction
There is relation position of the coefficient also with this CCD phase member, and we can be divided into CCD imaging planes in several regions.
The correcting algorithm is handled for the Nonuniformity Correction of colored CCD detector, after colour-balance adjustment, each base
Color has identical quantum efficiency, increases the balanced proportions coefficient of interchannel, and formula is:In DN=kcAcL+N formulas:Kc is colors
The balanced proportions coefficient of color passage, according to radiation calibration result, for the radiance of integrating sphere output, using red channel as base
Standard is normalized, and corresponding different radiance inputs, green after processing, blue channel compares situation with the output of red channel gray scale
It is shown, form of the least square fitting for kcx+b is used, two width luminance differences of selection are larger but do not occur saturation pixel
Integrating sphere image asks for each inverting radiance corresponding to pixel in image to be corrected, composition radiation is bright as reference picture
Inversion matrix is spent, and according to inverting brightness case, using pixel unsaturation after correction as principle, chooses appropriate correction coefficient, most
Balance correction coefficient is introduced afterwards, is corrected according to formula, obtains correction chart picture, and L (i, j) corresponding to any of which pixel is expressed
Formula is:
L=[L2 (DN-DN1)-L1 (DN-DN2)]/(DN2-DN1).
Operation principle：Serial regulation LED brightness is pressed by luminance meter first, while is read by image capturing system
The numerical value of CCD now, is repeated several times, you can and CCD correction coefficient is obtained using data, this coefficient is stored on host computer,
Every time when using color selector, this coefficient is sent to FPGA channel plates by host computer, FPGA can be by the calculation that above illustrated
Method, the numerical value after output calibration, the imaging system of area array CCD unlike linear array is a plane, so correction is
There is relation position of the number also with this CCD phase member, and we can be divided into CCD imaging planes in several regions, approximately think,
Under the same area, CCD correction coefficient is consistent and for the processing of the Nonuniformity Correction of colored CCD detector, both to need to consider not
With the responsiveness difference between color channel, the proportionate relationship between each color channel need to be taken into account simultaneously again, it is considered that, warp
After colour-balance adjustment, each primary colours have identical quantum efficiency, therefore, increase the balanced proportions coefficient of interchannel, formula is:DN
In=kcAcL+N formulas:Kc is the balanced proportions coefficient of each color channel.According to radiation calibration result above, for integrating sphere
The radiance of output, red channel pixel reach saturation at first, to avoid pixel after correction from saturated phenomenon occur, therefore, with
It is normalized on the basis of red channel, corresponding different radiance inputs, green after processing, blue channel is the same as red channel ash
Than shown in situation, using form of the least square fitting for kcx+b, fitting result is shown in Table shown, it can be seen that right for degree output
Answer different radiances, thus highly linearized between each color channel, constant b can obtain the color balance system in formula close to 0
Number, L=[L2 (DN-DN1)-L1 (DN-DN2)]/(DN2-DN1), using the correcting algorithm that this patent proposes it is actual to camera into
As image is corrected, image after original image and correction, visually observation is it can be found that original aerial picture centre region brightness
Apparently higher than edge brightness, each image of image is uneven after causing interpolation processing due to luminance difference, after correction in image
The luminance difference at the heart and edge is obviously reduced, and image integral color is uniform.
Finally it should be noted that：The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention,
Although the present invention is described in detail with reference to the foregoing embodiments, for those skilled in the art, it still may be used
To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic.
Within the spirit and principles of the invention, any modification, equivalent substitution and improvements made etc., it should be included in the present invention's
Within protection domain.
Claims (3)
1. the adaptive corrective of colored area array CCD, including two parts of area array CCD heterogeneity detecting system and correcting algorithm,
It is characterized in that：The area array CCD heterogeneity detecting system detects to the uniformity of area array CCD, the correcting algorithm
Calculating correction is carried out to area array CCD heterogeneity.
2. the adaptive corrective of colored area array CCD according to claim 1, it is characterised in that：The area array CCD is non-homogeneous
Property detection be made up of LED light source, line array CCD, signal processing circuit, image capturing system and luminance meter, the luminance meter presses line
Property the adjustment LED light source brightness, while read the numerical value of the line array CCD now by described image acquisition system, instead
Again several times, you can CCD correction coefficient is obtained using data, this coefficient is stored on host computer, when using color selector every time,
This coefficient is sent to FPGA channel plates by host computer, FPGA can be by the correcting algorithm, the numerical value after output calibration,
The imaging system of area array CCD unlike linear array is a plane, so position of the coefficient of correction also with this CCD phase member has
Relation, we can be divided into CCD imaging planes in several regions.
3. the adaptive corrective of colored area array CCD according to claim 1, it is characterised in that：The correcting algorithm for
The Nonuniformity Correction processing of colored CCD detector, after colour-balance adjustment, each primary colours have identical quantum efficiency, increase
Add the balanced proportions coefficient of interchannel, formula is:In DN=kcAcL+N formulas:Kc is the balanced proportions coefficient of each color channel, according to
Radiation calibration result, for the radiance of integrating sphere output, it is normalized on the basis of red channel, it is corresponding different
Radiance input, green after processing, blue channel with red channel gray scale export than shown in situation, use least square fitting for
Kcx+b form, two width luminance differences of selection are larger but do not occur the integrating sphere image of saturation pixel as reference picture, ask
Each inverting radiance corresponding to pixel in image to be corrected is taken, forms radiance inversion matrix, and according to inverting brightness
Situation, using pixel unsaturation after correction as principle, appropriate correction coefficient is chosen, balance correction coefficient is finally introducing, according to public affairs
Formula is corrected, and obtains correction chart picture, L (i, j) expression formula is corresponding to any of which pixel:
L=[L2 (DN-DN1)-L1 (DN-DN2)]/(DN2-DN1).
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| CN201710957258.4A CN107770410A (en) | 2017-10-16 | 2017-10-16 | The adaptive corrective of colored area array CCD |
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| CN201710957258.4A CN107770410A (en) | 2017-10-16 | 2017-10-16 | The adaptive corrective of colored area array CCD |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111383280A (en) * | 2018-12-29 | 2020-07-07 | 中国科学院长春光学精密机械与物理研究所 | Spatial remote sensing TDICCD camera non-uniformity correction method and device |
| CN114189677A (en) * | 2021-12-20 | 2022-03-15 | 深圳市同为数码科技股份有限公司 | Color uniformity evaluation method, device, computer equipment and medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105928627A (en) * | 2016-04-08 | 2016-09-07 | 北京航天计量测试技术研究所 | Method for eliminating image reproduction non-uniformity of refrigeration type thermal imager |
| CN106644078A (en) * | 2016-12-30 | 2017-05-10 | 电子科技大学 | Terahertz image non-uniformity correction method |
| CN106791328A (en) * | 2017-01-09 | 2017-05-31 | 中国科学院长春光学精密机械与物理研究所 | A kind of aviation CCD imaging systems and aircraft |
| CN107197122A (en) * | 2017-06-12 | 2017-09-22 | 武汉中导光电设备有限公司 | A kind of method for correcting flat field being imaged for area array cameras |
-
2017
- 2017-10-16 CN CN201710957258.4A patent/CN107770410A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105928627A (en) * | 2016-04-08 | 2016-09-07 | 北京航天计量测试技术研究所 | Method for eliminating image reproduction non-uniformity of refrigeration type thermal imager |
| CN106644078A (en) * | 2016-12-30 | 2017-05-10 | 电子科技大学 | Terahertz image non-uniformity correction method |
| CN106791328A (en) * | 2017-01-09 | 2017-05-31 | 中国科学院长春光学精密机械与物理研究所 | A kind of aviation CCD imaging systems and aircraft |
| CN107197122A (en) * | 2017-06-12 | 2017-09-22 | 武汉中导光电设备有限公司 | A kind of method for correcting flat field being imaged for area array cameras |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111383280A (en) * | 2018-12-29 | 2020-07-07 | 中国科学院长春光学精密机械与物理研究所 | Spatial remote sensing TDICCD camera non-uniformity correction method and device |
| CN114189677A (en) * | 2021-12-20 | 2022-03-15 | 深圳市同为数码科技股份有限公司 | Color uniformity evaluation method, device, computer equipment and medium |
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