Image Correction for Display Devices Using Ambient Light Block Analysis
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Solution Overview
Problem
Display devices struggle to maintain accurate image gradation values when exposed to ambient light, leading to uneven illumination and color perception.
Innovation Solution
An electronic device captures the background image, divides it into blocks based on pattern size, complexity, and type, adjusts gradation values, and transmits the corrected image to the display device to maintain consistent white balance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the display device displays an image under ambient light, then the display provides visual information to the user, but the illuminated area becomes brighter than other areas causing color perception distortion
Solution Approach 1:
The image is divided into multiple blocks, and each block's gradation values are adjusted independently based on its specific illumination conditions. This segmentation allows localized correction of color distortion caused by ambient light, addressing the contradiction between brightness uniformity and color accuracy.
Solution Approach 2:
Different gradation adjustment values are applied to different blocks of the image based on their local illumination characteristics. This local quality approach ensures that each region is corrected according to its specific conditions, maintaining color accuracy while accounting for variations in brightness uniformity across the display area.
2Manufacturing precision
If the image is divided into smaller blocks for correction, then the color accuracy improves, but the processing complexity increases
Solution Approach 1:
The block size and number are dynamically determined based on the characteristics of the ambient light and the display content. This dynamic adjustment optimizes the balance between correction precision and processing complexity, avoiding unnecessary computational overhead while maintaining accurate gradation correction.
Solution Approach 2:
The gradation values of each block are adjusted by changing specific parameters (gradation adjustment values) based on the block's illumination characteristics. This parameter-based approach enables precise correction without requiring complex processing, as each block is corrected through targeted parameter modification rather than complete reprocessing.
Data Source
AI summary
An electronic device is provided. The electronic device includes a camera, a communication interface, and a processor configured to capture an image of a background of a display device through the camera, to divide the captured image into a plurality of blocks, to compare a target gradation value with gradation values of the each of the plurality of blocks, to adjust the gradation values of the each of the plurality of blocks, and to transmit an image of which the gradation values are adjusted, to the display device through the communication interface, wherein the sizes of the plurality of blocks are identified based on a background pattern of the display device.