Video Coding Residual Degradation and Post-Filtering
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Solution Overview
Problem
Current video compression techniques face challenges in reducing bit-cost for encoding video streams while maintaining image quality, particularly in preserving high-frequency information during the encoding and decoding processes.
Innovation Solution
The method involves generating residual blocks from original and prediction blocks, degrading these blocks to reduce bit-cost, and applying block-based post-filtering during decoding to recover lost high-frequency information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If residual blocks are heavily compressed to reduce bit-cost, then transmission efficiency improves, but high-frequency information is lost and image quality deteriorates
Solution Approach 1:
The patent divides the residual block into frequency sub-bands (low-frequency and high-frequency components) and applies different quantization strengths to each segment. Low-frequency components are heavily quantized to reduce bit-cost, while high-frequency components are preserved with lighter quantization to maintain image quality details.
Solution Approach 2:
Different quantization parameters are applied to different spatial or frequency regions within the residual block. The patent uses adaptive quantization where the strength of degradation varies locally based on the importance of different frequency components, allowing aggressive compression in less critical areas while preserving quality in important regions.
2Productivity
If quantization step size is increased to reduce bit-cost, then compression ratio improves, but encoding precision of residual blocks deteriorates
Solution Approach 1:
The patent dynamically changes the quantization parameter (QP) based on the frequency content and importance of different regions in the residual block. By adapting the quantization step size according to local characteristics, the system achieves higher overall compression ratios while maintaining necessary precision in critical areas.
Solution Approach 2:
The patent applies excessive quantization (heavy degradation) only to portions of the residual block where it is acceptable (low-frequency or less important regions), while applying minimal or no excessive quantization to regions where precision is critical (high-frequency details). This partial application of aggressive compression achieves good compression ratios without uniformly sacrificing precision.
Data Source
AI summary
A method for encoding a video signal using a computing device, the video signal having a plurality of frames, each frame having a plurality of blocks, and each block having a plurality of pixels. The method includes generating a residual block from an original block of a current frame and a prediction block, degrading the residual block to decrease a bit-cost for encoding the residual block, and encoding the residual block into an encoded residual block.