Image Compression Method Using Macroblock Sub-Region Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image compression techniques for LCDs face challenges in improving compression efficiency while maintaining display quality and reducing hardware costs, particularly with increasing image resolutions.
Innovation Solution
An image compression method that acquires macroblocks of an image, determines sub-regions and partition colors within each macroblock, and selects a data compression format based on pixel information and partition colors to compress each macroblock effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If over drive compression technique is used to remove redundant information, then image compression efficiency is improved, but compression format becomes complex and hardware cost increases
Solution Approach 1:
The patent divides each macroblock into multiple sub-regions (first sub-region, second sub-region, etc.) based on pixel value characteristics. Different compression formats are applied to different sub-regions, allowing the system to achieve high compression efficiency for texture regions while using simpler formats for flat regions, thus resolving the contradiction between compression efficiency and format complexity
Solution Approach 2:
The patent applies different compression formats to different sub-regions within macroblocks based on their specific characteristics. Texture regions use quantized weight index compression while flat regions use partition color mean value compression. This local differentiation allows the system to optimize compression efficiency where needed without unnecessarily complicating the overall compression format
2Productivity
If over drive compression technique is used to remove redundant information, then image compression efficiency is improved, but over drive distortion increases affecting display quality
Solution Approach 1:
By segmenting macroblocks into sub-regions and applying appropriate compression formats to each, the patent reduces unnecessary compression in flat regions that would cause over drive distortion, while maintaining compression benefits in texture regions, thus reducing overall distortion while preserving efficiency
Solution Approach 2:
The patent changes the compression parameters and formats based on the characteristics of different sub-regions. By adjusting which compression format is applied to which region, the system optimizes the balance between compression efficiency and distortion reduction, preventing excessive over drive distortion that degrades display quality
3Device complexity
If compression format is simplified to reduce hardware cost, then hardware cost decreases, but image compression efficiency reduces
Solution Approach 1:
The patent applies simple compression formats to flat regions where they are sufficient, while using more sophisticated formats only for texture regions that require them. This selective approach maintains overall format simplicity for most of the image data while preserving high compression efficiency where needed, resolving the contradiction between simplicity and efficiency
Data Source
AI summary
Embodiments of the present disclosure provide an image compression method, an apparatus, and a computer-readable storage medium, relating to the field of image compression. The method comprises: acquiring a plurality of macroblocks of an image; determining the sub-region(s) of each one of the plurality of macroblocks and a partition color of each macroblock; determining a data compression format corresponding to each macroblock according to pixels in the sub-region(s) of each macroblock and the partition color of each macroblock; and compressing each macroblock based on the data compression format corresponding to each macroblock, and determining the compressed data corresponding to each macroblock. In the embodiments of the present disclosure, while ensuring the image compression efficiency, the image compression format is simplified, the image compression accuracy is guaranteed, and the over drive distortion caused by image compression is reduced.