Image Block Prediction Modes for Higher Compression Efficiency
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Solution Overview
Problem
The increasing resolution and quality of high-definition and ultra-high-definition images result in higher data volumes, leading to increased costs in transmission and storage, necessitating improved image encoding/decoding techniques for higher compression efficiency.
Innovation Solution
The method employs overlapped block motion compensation and candidate lists to enhance image encoding/decoding efficiency by determining prediction modes, deriving MPM lists, and using history-based merge candidates for intra and inter prediction, along with weighted sums for subblock partitioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality image data is transmitted or stored using conventional methods, then image quality is maintained, but transmission and storage costs increase due to larger data volumes
Solution Approach 1:
The current block is divided into multiple subblocks, and each subblock is processed independently with different prediction modes. This segmentation allows for more precise local prediction, improving compression efficiency while maintaining image quality in different regions of the block
Solution Approach 2:
Different prediction modes are applied to different subblocks within the same current block based on local characteristics. This local quality approach ensures that each region is predicted with the most appropriate mode, optimizing both compression efficiency and local image quality
2Quantity of substance
If conventional image compression techniques are used, then data volume is reduced, but compression efficiency is insufficient for high-resolution images
Solution Approach 1:
The prediction mode is dynamically selected for each subblock based on local image characteristics and neighboring block information. This dynamic adaptation allows the encoding process to respond to local variations in the image, improving compression efficiency without sacrificing quality
Solution Approach 2:
The decoding process uses feedback from neighboring blocks and motion information to determine prediction modes for current blocks. This feedback mechanism enables more accurate prediction by leveraging previously decoded information, thereby improving overall compression efficiency
Data Source
AI summary
An image decoding method is disclosed in the present specification. An image decoding method according to the present invention may comprise determining a prediction mode of a current block and performing prediction with respect to the current block on the basis of the determined prediction mode.