CN103927955A - Image correction method of camera - Google Patents

Image correction method of camera Download PDF

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Publication number
CN103927955A
CN103927955A CN201410180790.6A CN201410180790A CN103927955A CN 103927955 A CN103927955 A CN 103927955A CN 201410180790 A CN201410180790 A CN 201410180790A CN 103927955 A CN103927955 A CN 103927955A
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CN
China
Prior art keywords
image
pixel
brightness
camera
coefficient
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410180790.6A
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Chinese (zh)
Inventor
金文�
姚红兵
金鸥
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ZHENJIANG QISHENG SOFTWARE TECHNOLOGY Co Ltd
Original Assignee
ZHENJIANG QISHENG SOFTWARE TECHNOLOGY Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by ZHENJIANG QISHENG SOFTWARE TECHNOLOGY Co Ltd filed Critical ZHENJIANG QISHENG SOFTWARE TECHNOLOGY Co Ltd
Priority to CN201410180790.6A priority Critical patent/CN103927955A/en
Publication of CN103927955A publication Critical patent/CN103927955A/en
Pending legal-status Critical Current

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Abstract

The invention relates to an image correction method of a camera. The image correction method of the camera comprises the steps that firstly, a pure red image is displayed on a large screen, and the camera shoots an image; secondly, image processing is carried out, and the coefficient needing to be multiplied when the brightness of each pixel point is converted into a lowest brightness value is calculated with the lowest brightness serving as the benchmark; thirdly, the brightness of each pixel point of the original pure red image is multiplied by the corresponding coefficient; fourthly, the processed pure red image is transmitted to a large screen control system and is displayed again; fifthly, the camera is used for shooting an image again, the image is processed, whether the brightnesses of all the pixel points are the same is judged, if yes, the related coefficients are stored, and if not, the steps from the first one to the fourth one are carried out until the brightnesses of all the pixel points are the same; sixthly, green color and blue color are corrected through the steps from the first one to the fifth one; seventhly, after correction, each pixel point of the image is multiplied by the corresponding coefficient every time the image is displayed.

Description

A kind of method of camera correction graph
Technical field
The present invention relates to a kind of bearing calibration of figure.
Background technology
Giant-screen generally all adopts splicing to realize, due to the performance of mosaic screen circuit and components and parts cannot accomplish in full accord, so usually there is the problems such as different screen brightness is different, and screen seam is obvious.
Summary of the invention
1, technical matters to be solved:
Mainly solve the problems such as different mosaic screen brightness is different, screen seam is obvious, screen stain.
2, technical scheme:
In order to overcome the above problems, the invention provides kind of a method for camera correction graph, the first step: pure red photo of large screen display, camera is taken large-screen image; Second step: carry out image processing, calculate the brightness value of each pixel, then take minimum brightness value as benchmark, the brightness transition of calculating each pixel is the coefficient that minimum brightness value need to be taken advantage of; The 3rd step: then original pure red image is processed, each pixel brightness is multiplied by respectively corresponding coefficient; The 4th step: send the pure red image after processing to giant-screen control system, re-start demonstration; The 5th step: re-use camera and take large-screen image, carry out image processing, see that whether the brightness of each pixel is identical, if identical, related coefficient is preserved, carry out again the processing of 1-4 step if different, until the brightness of each pixel is identical; The 6th step: then using respectively 1-5 step to proofread and correct green and blueness; The 7th step: after completing correction, while at every turn showing image, all each pixel of image is multiplied by respectively to coefficient of correspondence.
Beneficial effect:
The present invention uses camera and image processing method to calculate the luminance difference coefficient of each pixel of giant-screen, then with this coefficient of variation, proofread and correct image to be shown, can solve preferably like this each Mosaic screen brightness difference, the obvious problem of seam, simultaneously, it is to use giant-screen to proofread and correct before at every turn, can be impermanent because of the time, LED light source brightness declines and again occurs the problems such as mosaic screen brightness is different, seam is obvious.
Accompanying drawing explanation
Fig. 1 is process flow diagram of the present invention.
Embodiment
Below the present invention is described in detail.
First, a camera is set in the front upper place of giant-screen, camera is connected with image processing equipment, and image processing equipment is connected with the control system of giant-screen; Before using giant-screen, with camera, carry out correcting image, concrete steps are as follows:
The first step: pure red photo of large screen display, camera is taken large-screen image;
Second step: carry out image processing, calculate the brightness value of each pixel, then take minimum brightness value as benchmark, the brightness transition of calculating each pixel is the coefficient that minimum brightness value need to be taken advantage of;
The 3rd step: then original pure red image is processed, each pixel brightness is multiplied by respectively corresponding coefficient;
The 4th step: send the pure red image after processing to giant-screen control system, re-start demonstration;
The 5th step: re-use camera and take large-screen image, carry out image processing, see that whether the brightness of each pixel is identical, if identical, related coefficient is preserved, carry out again the processing of 1-4 step if different, until the brightness of each pixel is identical;
The 6th step: then using respectively 1-5 step to proofread and correct green and blueness;
The 7th step: after completing correction, while at every turn showing image, all each pixel of image is multiplied by respectively to coefficient of correspondence.
The present invention uses camera and image processing method to calculate the luminance difference coefficient of each pixel of giant-screen, then with this coefficient of variation, proofread and correct image to be shown, can solve preferably like this each Mosaic screen brightness difference, the obvious problem of seam, simultaneously, it is to use giant-screen to proofread and correct before at every turn, can be impermanent because of the time, LED light source brightness declines and again occurs the problems such as mosaic screen brightness is different, seam is obvious.
Although the present invention with preferred embodiment openly as above; but they are not of the present invention for limiting; anyly have the knack of this skill person; without departing from the spirit and scope of the invention; from when can make various changes or retouch, so being as the criterion of should being defined with the application's claim protection domain of protection scope of the present invention.

Claims (1)

1. a method for camera correction graph, comprises the following steps: the first step: pure red photo of large screen display, camera shooting large-screen image; Second step: carry out image processing, calculate the brightness value of each pixel, then take minimum brightness value as benchmark, the brightness transition of calculating each pixel is the coefficient that minimum brightness value need to be taken advantage of; The 3rd step: then original pure red image is processed, each pixel brightness is multiplied by respectively corresponding coefficient; The 4th step: send the pure red image after processing to giant-screen control system, re-start demonstration; The 5th step: re-use camera and take large-screen image, carry out image processing, see that whether the brightness of each pixel is identical, if identical, related coefficient is preserved, carry out again the processing of 1-4 step if different, until the brightness of each pixel is identical; The 6th step: then using respectively 1-5 step to proofread and correct green and blueness; The 7th step: after completing correction, while at every turn showing image, all each pixel of image is multiplied by respectively to coefficient of correspondence.
CN201410180790.6A 2014-05-04 2014-05-04 Image correction method of camera Pending CN103927955A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410180790.6A CN103927955A (en) 2014-05-04 2014-05-04 Image correction method of camera

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410180790.6A CN103927955A (en) 2014-05-04 2014-05-04 Image correction method of camera

Publications (1)

Publication Number Publication Date
CN103927955A true CN103927955A (en) 2014-07-16

Family

ID=51146161

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410180790.6A Pending CN103927955A (en) 2014-05-04 2014-05-04 Image correction method of camera

Country Status (1)

Country Link
CN (1) CN103927955A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104202448A (en) * 2014-09-19 2014-12-10 上海斐讯数据通信技术有限公司 System and method for solving shooting brightness unevenness of mobile terminal camera
CN110663077A (en) * 2017-05-31 2020-01-07 株式会社宜科思 Uneven correction data generating device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104202448A (en) * 2014-09-19 2014-12-10 上海斐讯数据通信技术有限公司 System and method for solving shooting brightness unevenness of mobile terminal camera
CN110663077A (en) * 2017-05-31 2020-01-07 株式会社宜科思 Uneven correction data generating device

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Addressee: ZHENJIANG QISHENG SOFTWARE TECHNOLOGY CO., LTD.

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Application publication date: 20140716

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