Image Block Luminance Inversion for Active Display Data Compression
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Solution Overview
Problem
High-definition video processing results in large data sizes due to continuous use of coding modes suited for passive luminescent display devices with active luminescent devices, leading to inefficient data transmission and decoding.
Innovation Solution
An image processing method that converts RGB data into YUV format, inverts luminance values of target image blocks into darkness values, and codes DUV data of target blocks with YUV data of non-inverted blocks to optimize data size for active luminescent display devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If coding mode for passive luminescent display devices is continuously used, then compatibility with passive luminescent devices is maintained, but data size of image data becomes large
Solution Approach 1:
The image is divided into multiple image blocks, and different coding strategies are applied to different blocks based on their luminance characteristics. Bright blocks are inverted to dark blocks, allowing the use of more efficient coding modes for dark-background content while maintaining overall compatibility
Solution Approach 2:
Different processing treatments are applied to different regions of the image based on local characteristics. Bright image blocks are selectively inverted to dark blocks, while other blocks maintain original characteristics, optimizing coding efficiency for each region according to its specific properties
2Quantity of substance
If luminance values are inverted for all image blocks, then data size is reduced for active luminescent devices, but compatibility with passive luminescent devices deteriorates
Solution Approach 1:
The image is segmented into multiple blocks, and only bright blocks are inverted to dark blocks while other blocks remain unchanged. This selective inversion reduces data size for active luminescent devices while preserving compatibility with passive luminescent devices through the unchanged blocks
Solution Approach 2:
Different processing is applied to different regions: bright blocks undergo inversion to optimize for active luminescent devices, while other blocks maintain original characteristics to ensure compatibility with passive luminescent devices, achieving local optimization throughout the image
Data Source
AI summary
An image processing method and device, a camera apparatus and a storage medium are provided. The image processing method includes: acquiring an initial image, and the initial image corresponds to an RGB data format; dividing the initial image into a plurality of image blocks; converting each image block in the plurality of image blocks from the RGB data format into a YUV data format, wherein Y is a luminance value, and U and V are chromatic value; inverting a luminance value Y of a target image block into a darkness value D, and the target image block is at least one of the plurality of image blocks; coding DUV data of the target image block and YUV data of a non-inverted image block so as to obtain target image data of the initial image.