CN106780396A - A kind of method for eliminating image piece - Google Patents
A kind of method for eliminating image piece Download PDFInfo
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- CN106780396A CN106780396A CN201611269994.2A CN201611269994A CN106780396A CN 106780396 A CN106780396 A CN 106780396A CN 201611269994 A CN201611269994 A CN 201611269994A CN 106780396 A CN106780396 A CN 106780396A
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000000694 effects Effects 0.000 abstract description 7
- 238000005457 optimization Methods 0.000 abstract description 2
- 230000008030 elimination Effects 0.000 description 3
- 238000003379 elimination reaction Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000003313 weakening effect Effects 0.000 description 1
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- G06T5/77—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
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Abstract
The invention discloses a kind of method for eliminating image piece, original image is corrected by gathering completely black figure, obtain a new image, again in the edge joint position of new image, choose piece average area of piece or so each certain width as left side or right side, the average brightness value in the piece left and right sides average area of piece is calculated respectively, finally, obtain the mean luminance differences in the piece left and right sides average area of piece and made up in all pixels of piece side, to reach optimization image effect, the purpose for eliminating image piece is reached.
Description
Technical field
The invention belongs to the technical field of image procossing, more particularly to a kind of method for eliminating image piece.
Background technology
During image imaging joint, because the biasing of each channel circuit is inconsistent with gain, interchannel is result in bright
The inconsistent problem of degree, so that image has looked obvious spells piece gap.The ameliorative way of prior art is by adjustment
The AD gains (numerical simulation gain) of piece or so reach the consistent effect of piece both sides brightness.But in real process, by
In without the adjustment numerical value for determining, only rely on experience and vision is repeatedly adjusted, not only take, and operate it is difficult to be adjusted to one
Cause.
The content of the invention
It is an object of the invention to overcome drawbacks described above, it is proposed that a kind of method of elimination image piece, can be automatically complete
Into making up for interchannel difference in brightness, optimize image effect.
To achieve the above object, technical scheme is as follows：
A kind of method for eliminating image piece, specifically includes following steps：
Step S01：Gather completely black figure to correct original image, obtain new image；
Step S02：In the edge joint position of new image, spelling of piece or so each certain width as left side or right side is chosen
Stitch average area, calculate respectively piece left side piece average area average brightness value and the piece right side average area of piece it is average bright
Angle value；
Step S03：According to piece left side or the average brightness value in the average area of right side piece, the piece left and right sides is calculated
Mean luminance differences；
Step S04：The mean luminance differences of the piece left and right sides are made up in whole pixels of piece side.
Preferably, in the step S01, the completely black figure is gathered by closing aperture.
Preferably, in the step S01, corresponding each picture of completely black figure is subtracted with the brightness of each pixel of original image
The brightness of element, obtains the new image.
Preferably, in the step S02, the average brightness value in the piece left side or the average area of right side piece is equal to piece
The brightness of the pixel in left side or the average area of right side piece and divided by piece left side or the average area of right side piece in number of pixels.
From above-mentioned technical proposal as can be seen that the present invention is corrected by gathering completely black figure to original image, one is obtained
New image, then in the edge joint position of new image, choose piece or so each certain width and put down as the piece on left side or right side
Equal area, calculates the average brightness value in the piece left and right sides average area of piece respectively, finally, obtains piece left and right sides piece and puts down
The mean luminance differences in equal area are simultaneously made up in all pixels of piece side, to reach optimization image effect, reach elimination
The purpose of image piece.
Brief description of the drawings
Fig. 1 is a kind of method flow diagram for eliminating image piece of the invention；
Fig. 2 is the structural representation of image piece the right and left pixel difference.
Specific embodiment
Below with reference to specific embodiment, the present invention is described in further detail.
It should be noted that in following specific embodiments, when embodiments of the present invention are described in detail, in order to clear
Ground represents structure of the invention in order to illustrate, spy, not according to general scale, and has carried out part to the structure in accompanying drawing
Amplifying, deform and simplify treatment, therefore, should avoid being understood in this, as limitation of the invention.
Below according to Fig. 1, Fig. 1 is a kind of method flow diagram of elimination image piece of the invention, and combines Fig. 2, and Fig. 2 is
The structural representation of image piece the right and left pixel difference, is described in further detail to specific embodiment of the invention.
A kind of method for eliminating image piece of the invention, comprises the following steps：
Step S01：Gather completely black figure to correct original image, obtain new image.
Because original image is larger in the difference in brightness of edge joint position, even if being used in the region of piece or so one fixed width
The method of mean flow rate, can also make error larger, it is impossible to reach satisfied effect, so, the present invention does to original image first
Correction, farthest the luminance difference on reduction piece both sides, the precision of piece is eliminated to improve.In the present embodiment, in collection
When image, first close aperture, gather it is light tight in the case of completely black figure, then with the brightness of each pixel of original image
The brightness of corresponding each pixel of completely black figure is subtracted, new image is obtained.New image has identical pixel point with original image
Resolution.The height of the new image shown in Fig. 2 is h, that is, have h row pixels.
Step S02：In the edge joint position of new image, spelling of piece or so each certain width as left side or right side is chosen
Stitch average area, calculate respectively piece left side piece average area average brightness value and the piece right side average area of piece it is average bright
Angle value；
Refer to Fig. 2.As illustrated, in the left side of piece 01, selection width is wL, highly for h band as left side
The average area of piece, likewise, on the right side of piece 01, selection width is wR, highly for h band as left side piece put down
Equal area.The width in the average area of piece should be smaller, if excessive, can increase the error of calculating.Then piece left side is calculated respectively
The average brightness value in average brightness value and piece the right side average area of piece in the average area of piece.
The average brightness value in piece left side or the average area of right side piece is equal in piece left side or the average area of right side piece
The brightness of pixel and divided by piece left side or the average area of right side piece in number of pixels.The calculation of average brightness value is realized with program
Method, can be using step in detail below：
Step S021：Using the row of brightness calculation piece i-th left side of each pixel in the i-th row left side or the average area of right side piece
Or the row average brightness value in the average area of right side piece.Specifically, by each pixel in the i-th row left side or the average area of right side piece
Divided by left side or the width (columns) in the average area of right side piece after brightness summation, that is, obtain the row of piece i-th left side or right side piece
Row average brightness value in average area, is shown below
Wherein I (i, k) is the brightness value of the i-th row kth row pixel, and is assumed close to the unit on the left of piece for jth is arranged, tightly
Unit on the right side of adjacent piece is the row of jth+1, and j is definite value, as shown in Fig. 2 ML(i) and MR(i) be respectively the row of piece i-th left side and
Row average brightness value in the average area of right side piece.
Step S022：The row that repeat step S011 is obtained in the left side or the average area of right side piece of all rows respectively is averagely bright
Angle value.
Step S023：Using in the left side or the average area of right side piece of each row row average brightness value calculate piece left side or
The average brightness value in the average area of right side piece.Specifically, by the row mean flow rate in the left side of each row or the average area of right side piece
Divided by line number after value summation, the average brightness value in piece left side or the average area of right side piece is obtained, that is, be shown below.
Wherein MLTAnd MRTIt is the average brightness value in piece left side and the average area of right side piece, h is the pixels tall of image,
Namely line number.
Similar, the column average brightness value in piece left side or the average area of right side piece is first sought, then obtain piece left side or right
The column average brightness value of all row in the average area of side piece, then by the column average in the left side of each row or the average area of right side piece
Divided by columns after brightness value summation, it is also possible to obtain the average brightness value in piece left side or the average area of right side piece.Certainly, also may be used
The calculating of average brightness value is realized there are other specific procedures, without departing from thought of the invention, the present invention is belonged to
Protection domain.
On the basis of step S01, then implementation steps S02, can not only retain all characteristics of image of original image, and
And the precision for eliminating piece can be improved, more preferable effect is reached, to realize eliminating the purpose of piece.
Step S03：According to piece left side or the average brightness value in the average area of right side piece, the piece left and right sides is calculated
Mean luminance differences.
Using piece left side or the average brightness value in the average area of right side piece, the mean flow rate of the piece left and right sides is calculated
Difference, that is, be shown below
M=MLT-MRT
Wherein m is the average area's mean luminance differences of piece left and right sides piece.
Step S04：The mean luminance differences in the piece left and right sides average area of piece are made up all pixels of piece side
On.
Specifically, average brightness value can be subtracted in all pixels of pixel piece side high, or it is low in pixel
The all pixels of piece side add average brightness value, that is, realize the regulation of piece both sides brightness, make the brightness phase of piece both sides
Together, the purpose for eliminating piece is reached.
In sum, the present invention is by first weakening piece, then the mean flow rate for calculating the piece left and right sides average area of piece
Difference is simultaneously made up in all pixels of piece side, with automatic identification luminance difference, and the brightness near piece can be carried out
Regulation, that is, be automatically performed making up for interchannel difference in brightness, has reached the purpose for eliminating image piece, optimizes the effect of image.
Above-described is only embodiments of the invention, and the embodiment simultaneously is not used to limit patent protection model of the invention
Enclose, therefore every equivalent structure change made with specification of the invention and accompanying drawing content, similarly should be included in this hair
In bright protection domain.
Claims (4)
1. it is a kind of eliminate image piece method, it is characterised in that comprise the following steps：
Step S01：Gather completely black figure to correct original image, obtain new image；
Step S02：In the edge joint position of new image, choose piece or so each certain width and put down as the piece on left side or right side
Equal area, calculates the average brightness value in the piece left side average area of piece and the mean flow rate in the piece right side average area of piece respectively
Value；
Step S03：According to piece left side or the average brightness value in the average area of right side piece, the average of the piece left and right sides is calculated
Luminance difference；
Step S04：The mean luminance differences of the piece left and right sides are made up in whole pixels of piece side.
2. it is according to claim 1 eliminate image piece method, it is characterised in that in the step S01, by close
Aperture gathers the completely black figure.
3. it is according to claim 2 eliminate image piece method, it is characterised in that in the step S01, use original graph
The brightness of each pixel of picture subtracts the brightness of corresponding each pixel of completely black figure, obtains the new image.
4. it is according to claim 1 eliminate image piece method, it is characterised in that in the step S02, the piece
The average brightness value in left side or the average area of right side piece be equal to piece left side or the average area of right side piece in pixel brightness and
Divided by the number of pixels in piece left side or the average area of right side piece.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201611269994.2A CN106780396B (en) | 2016-12-30 | 2016-12-30 | Method for eliminating image seam |
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| CN201611269994.2A CN106780396B (en) | 2016-12-30 | 2016-12-30 | Method for eliminating image seam |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108279857A (en) * | 2017-12-29 | 2018-07-13 | 广东创捷智能科技有限公司 | The liquid crystal-spliced screen of zero piece of integrated pixel filling based on HDbaseT signal transmissions |
| CN112289209A (en) * | 2020-10-20 | 2021-01-29 | 长春希达电子技术有限公司 | LED display box body and display screen splicing pixel interval brightness correction method |
| CN112700382A (en) * | 2020-12-23 | 2021-04-23 | 杭州海康微影传感科技有限公司 | Image seam eliminating method and device and electronic equipment |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004069673A (en) * | 2002-06-11 | 2004-03-04 | Nec Corp | Visual inspection apparatus and method thereof |
| US20050058366A1 (en) * | 2003-09-11 | 2005-03-17 | Yan-Ru Jiang | Method of reparing scratches in digital images |
| CN1601559A (en) * | 2004-10-21 | 2005-03-30 | 武汉大学 | Correspond rediation correction method for push-scanning satellite images CCD |
| CN101640038A (en) * | 2009-08-26 | 2010-02-03 | 广东威创视讯科技股份有限公司 | Display device colour luminance compensation method, device and system |
| CN102708558A (en) * | 2012-06-01 | 2012-10-03 | 惠州华阳通用电子有限公司 | Video image mosaic device, mosaic method and video surveillance system |
| CN103647911A (en) * | 2013-11-15 | 2014-03-19 | 天津天地伟业数码科技有限公司 | Image seamless splicing method based on black-level adjustment |
| CN104376531A (en) * | 2014-12-11 | 2015-02-25 | 重庆地质仪器厂 | Image splicing method and system |
| CN104966493A (en) * | 2015-07-31 | 2015-10-07 | 西安诺瓦电子科技有限公司 | Method for compensating spliced bright and dark lines |
| CN106127690A (en) * | 2016-07-06 | 2016-11-16 | 李长春 | A kind of quick joining method of unmanned aerial vehicle remote sensing image |
-
2016
- 2016-12-30 CN CN201611269994.2A patent/CN106780396B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004069673A (en) * | 2002-06-11 | 2004-03-04 | Nec Corp | Visual inspection apparatus and method thereof |
| US20050058366A1 (en) * | 2003-09-11 | 2005-03-17 | Yan-Ru Jiang | Method of reparing scratches in digital images |
| CN1601559A (en) * | 2004-10-21 | 2005-03-30 | 武汉大学 | Correspond rediation correction method for push-scanning satellite images CCD |
| CN101640038A (en) * | 2009-08-26 | 2010-02-03 | 广东威创视讯科技股份有限公司 | Display device colour luminance compensation method, device and system |
| CN102708558A (en) * | 2012-06-01 | 2012-10-03 | 惠州华阳通用电子有限公司 | Video image mosaic device, mosaic method and video surveillance system |
| CN103647911A (en) * | 2013-11-15 | 2014-03-19 | 天津天地伟业数码科技有限公司 | Image seamless splicing method based on black-level adjustment |
| CN104376531A (en) * | 2014-12-11 | 2015-02-25 | 重庆地质仪器厂 | Image splicing method and system |
| CN104966493A (en) * | 2015-07-31 | 2015-10-07 | 西安诺瓦电子科技有限公司 | Method for compensating spliced bright and dark lines |
| CN106127690A (en) * | 2016-07-06 | 2016-11-16 | 李长春 | A kind of quick joining method of unmanned aerial vehicle remote sensing image |
Non-Patent Citations (4)
| Title |
|---|
| LI FENG ET AL.: ""Algorithm of edge blending based on the nonlinear function"", 《2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS》 * |
| 宋宝森 等: ""一种消除图像拼接痕迹的新方法"", 《计算机科学》 * |
| 宋振兴: ""图像拼接融合技术中去鬼影及裂缝方法研究"", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
| 王帅 等: ""基于亮度统一的加权融合图像拼接算法"", 《山东科学》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108279857A (en) * | 2017-12-29 | 2018-07-13 | 广东创捷智能科技有限公司 | The liquid crystal-spliced screen of zero piece of integrated pixel filling based on HDbaseT signal transmissions |
| CN108279857B (en) * | 2017-12-29 | 2021-09-10 | 广东创捷智能科技有限公司 | Zero-splicing-seam liquid crystal splicing screen with integrated pixel filling based on HDbaseT signal transmission |
| CN112289209A (en) * | 2020-10-20 | 2021-01-29 | 长春希达电子技术有限公司 | LED display box body and display screen splicing pixel interval brightness correction method |
| CN112289209B (en) * | 2020-10-20 | 2022-08-23 | 长春希达电子技术有限公司 | LED display box body and display screen abutted pixel interval brightness correction method |
| CN112700382A (en) * | 2020-12-23 | 2021-04-23 | 杭州海康微影传感科技有限公司 | Image seam eliminating method and device and electronic equipment |
| CN112700382B (en) * | 2020-12-23 | 2024-03-26 | 杭州海康微影传感科技有限公司 | Image seam elimination method and device and electronic equipment |
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