Gain Map Block Encoding for Image Quality and Storage Balance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing gain map encoding methods affect the image quality of reconstructed images due to information loss during downsampling and compression, leading to increased storage space requirements.
Innovation Solution
A method and apparatus that selectively encode target image blocks with luminance values above a threshold, determining identification information and forming image block groups to improve encoding efficiency and reduce storage space while maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If downsampling and compression are performed on the gain map to reduce storage space, then storage space is reduced, but information is lost and image quality of the reconstructed image is affected
Solution Approach 1:
The gain map is divided into multiple image blocks, and each block is independently processed. Only blocks containing high-luminance pixels (above threshold) are encoded and transmitted, while other blocks are omitted. This segmentation allows selective retention of important information while reducing overall data volume, resolving the contradiction between storage space reduction and information preservation.
Solution Approach 2:
Different regions of the gain map are treated differently based on their content characteristics. High-luminance regions (which contain visually important information) are preserved with full quality, while low-luminance regions are omitted or downsampled. This local differentiation ensures that critical image quality information is retained while reducing storage requirements for less important areas.
2Loss of information
If the entire gain map is encoded to maintain image quality, then image quality is maintained, but storage space increases
Solution Approach 1:
The method extracts and encodes only the essential portions of the gain map - specifically image blocks containing high-luminance pixels that contribute most to visual quality. By taking out only the necessary data elements rather than encoding the entire gain map, storage space is reduced while maintaining the image quality attributes that matter most.
Solution Approach 2:
Instead of fully encoding the entire gain map (excessive action), the method applies partial encoding only to relevant image blocks containing high-luminance information. This partial action is sufficient to maintain perceived image quality while significantly reducing the total data volume that needs to be stored and transmitted.
Data Source
Figure 1~2
Figure 3~5
Figure 6~8
AI summary
This application discloses a gain map encoding method and apparatus, a gain map decoding method and apparatus, a device, and a medium, and pertains to the field of communication technologies. The method in this application includes: obtaining at least one target image block in a gain map, where a luminance value of a pixel in the target image block is greater than a first threshold (301); determining target image block identification information of the gain map and an image block group based on the at least one target image block (302); and encoding the target image block identification information and the image block group to obtain encoding information of the gain map (303).