Display Panel Luminance Compensation for Barrel Distortion Correction
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Solution Overview
Problem
Display panels suffer from uneven luminance due to barrel distortion in images captured by camera equipment, leading to inaccuracies in luminance compensation.
Innovation Solution
A method and apparatus for luminance compensation that involves displaying a calibration screen with first calibration points, acquiring a sampled image with second calibration points, determining a central calibration point, generating third calibration points in an array, correcting image regions, and performing affine transformation to align and compensate luminance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera equipment is used to collect luminance information of display panels, then luminance compensation can be performed, but barrel distortion in captured images causes large deviation between displayed calibration points and actual calibration points, reducing measurement precision
Solution Approach 1:
The patent applies preliminary action by pre-establishing a distortion correction model before performing luminance compensation. The method captures calibration images, identifies distortion characteristics, and builds a correction algorithm that pre-compensates for barrel distortion effects. This preliminary distortion correction enables subsequent luminance measurements to be performed on accurately positioned calibration points, resolving the contradiction between using camera equipment for compensation and dealing with distortion-induced precision loss.
2Reliability
If traditional grayscale compensation methods are used, then luminance compensation can be performed, but distortion leads to inaccurate extraction of regions of interest, affecting compensation quality
Solution Approach 1:
The patent introduces an intermediary distortion correction module between image capture and region extraction. This intermediary component processes the distorted calibration image to generate corrected coordinates and accurate region definitions before luminance compensation is applied. By inserting this correction intermediary, the system maintains reliable luminance compensation while achieving precise region extraction despite the presence of barrel distortion.
Data Source
AI summary
A luminance compensation method. According to the method, a central calibration point is acquired on the sampled image. A plurality of third calibration points is generated on the sampled image based on the central calibration point. The sampled image is divided into a plurality of regions to be corrected. A corrected position of each second calibration point in any one of the regions to be corrected is acquired for an initial position of each third calibration point in the region to be corrected. An affine transformation correction is performed on the sampled image based on the corrected positions of all the second calibration points and reference positions of the first calibration points corresponding to the second calibration points, so that a corrected image is acquired. And luminance data of a reference image is compensated to the sampled image.