Optical Compensation for Display Luminance Correction
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Solution Overview
Problem
Display devices with low correlation between adjacent pixels face challenges in luminance correction due to blurring issues, which affect image accuracy and increase manufacturing costs.
Innovation Solution
An optical compensation method and system that generates compensation data for luminance correction by capturing and deblurring images using a weight matrix derived through machine learning, specifically using a gradient descent algorithm to minimize errors and improve image capture accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image capture is performed on display devices with low pixel correlation, then luminance correction becomes difficult due to blurring, but increasing image capture resolution increases device complexity and cost
Solution Approach 1:
The patent changes the parameter of image processing by introducing deblurring processing and weight matrix application. Instead of simply capturing images at higher resolution, the system applies mathematical transformations (deblurring algorithms and weight matrices) to the captured images to recover pixel luminance values, thereby improving measurement precision without proportionally increasing device complexity
Solution Approach 2:
The patent introduces an intermediary processing step between image capture and luminance correction. The deblurring processing and weight matrix application serve as intermediaries that transform the blurred captured images into accurate pixel luminance data, enabling precise measurement without requiring the image capture device to have extremely high resolution
2Manufacturing precision
If deblurring processing is applied to captured images, then luminance correction accuracy improves, but processing time and computational complexity increase
Solution Approach 1:
The patent performs deblurring processing and weight matrix application as preliminary steps before final luminance correction. By pre-processing the captured images to remove blur effects and extract accurate pixel luminance values, the system enables faster subsequent compensation operations, as the complex deblurring is done once during calibration rather than repeatedly during operation
Solution Approach 2:
The patent replaces physical/optical deblurring mechanisms with computational/mathematical methods. Instead of using complex optical systems or mechanical adjustments to prevent blur, the system uses digital image processing algorithms and weight matrices to computationally remove blur effects, reducing mechanical complexity while maintaining precision
3Measurement precision
If high-resolution image capture is used to avoid blurring, then image accuracy improves, but manufacturing cost increases
Solution Approach 1:
The patent changes the approach from hardware parameter optimization (higher resolution sensors) to software parameter optimization (deblurring algorithms and weight matrices). This allows achieving high measurement precision with lower-cost image capture devices by compensating for blur through computational methods rather than requiring expensive high-resolution hardware
Solution Approach 2:
The patent uses computationally intensive but hardware-simple processing methods instead of expensive high-resolution image capture hardware. The deblurring processing and weight matrix application provide a cost-effective alternative to investing in high-resolution sensors and optics, reducing manufacturing costs while maintaining measurement accuracy
Data Source
AI summary
An optical compensation method includes displaying a first image in a display device, the first image including a dot pattern obtained by allowing target pixels spaced apart from each other emit light, at least two other pixels being disposed between the target pixels; generating first image capture data by capturing the first image displayed in the display device through an image capture device; displaying a second image in the display device; generating second image capture data by capturing the second image displayed in the display device through the image capture device; generating deblurring data by deblurring the second image capture data, based on the first image capture data; generating compensation data for luminance correction of the display device, based on the deblurring data; and storing the compensation data in a memory device.