Partial Residual Block Coding for Video Compression Quality Balance
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently balancing lossy and lossless compression to achieve high compression ratios while maintaining image quality, particularly in the context of emerging standards like VVC.
Innovation Solution
The method involves coding multiple partial residual blocks with different lossy and lossless modes, using weighted combinations and varying quantization and transform methods to reconstruct video blocks, allowing for efficient compression and high-quality reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If lossy compression is used to achieve high compression ratios, then data transmission efficiency is improved, but image quality deteriorates
Solution Approach 1:
The patent applies different coding modes (lossless and lossy) to different partial residual blocks within the same video block. Specifically, it divides a residual block into multiple partial residual blocks and selectively applies lossless coding to some regions while applying lossy coding to others, allowing high compression ratios in less critical areas while maintaining image quality in important regions.
Solution Approach 2:
The patent segments a residual block into multiple partial residual blocks based on transform coefficients. By dividing the residual block into regions with different coding characteristics, the patent can apply appropriate coding modes to each segment, achieving both high compression ratios and maintained image quality through selective application of lossless and lossy coding techniques.
2Manufacturing precision
If lossless compression is used to maintain image quality, then image quality is preserved, but compression ratio decreases
Solution Approach 1:
The patent applies lossless coding selectively to specific partial residual blocks where high precision is required, while applying lossy coding to other regions where compression is prioritized. This localized application of lossless compression maintains image quality in critical areas without sacrificing overall compression ratio.
Solution Approach 2:
By segmenting the residual block into multiple partial residual blocks and identifying which segments require lossless coding versus lossy coding, the patent optimizes the balance between image quality and compression ratio. This segmentation allows precise control over where lossless compression is applied to maintain quality while limiting its impact on overall compression efficiency.
3Productivity
If multiple partial residual blocks with different coding modes are used, then compression efficiency is enhanced, but device complexity increases
Solution Approach 1:
The patent segments a residual block into multiple partial residual blocks based on transform coefficient characteristics. This segmentation enables different coding modes to be applied to different segments, enhancing compression efficiency by matching coding complexity to the actual information content of each region rather than applying a uniform coding approach throughout.
Solution Approach 2:
The patent dynamically determines the coding mode for each partial residual block based on transform coefficient analysis. By adaptively selecting lossless or lossy coding modes for different regions based on their specific characteristics, the patent optimizes compression efficiency while managing device complexity through intelligent, data-driven decision-making rather than fixed complex processing.
Data Source
AI summary
A video bitstream comprising coded information of a plurality of partial residual blocks of a current block in a current picture is received. Each of the plurality of partial residual blocks indicates a difference between a respective prediction block of the current block and the current block. The plurality of partial residual blocks of the current block is determined based on respective coding parameters. A residual block is determined based on the plurality of partial residual blocks. A prediction block for the current block is determined. The current block is reconstructed based on a combination of the derived residual block and the determined prediction block.


