Adaptive Intra Prediction Filtering for Video Coding
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Solution Overview
Problem
Existing video coding methods struggle to efficiently predict sharp edges and smooth regions using low-pass filtering during intra prediction, as applying a low-pass filter to reference pixels or prediction signals can hinder the prediction of sharp edges.
Innovation Solution
A method is introduced to determine whether filtering should be applied during intra prediction based on the characteristics of the image signal adjacent to the current image area, using statistics such as edge detection or variance calculation to decide on filtering for each block, allowing adaptive filtering of reference pixels or prediction signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a low-pass filter is applied to reference pixels or prediction signals during intra prediction, then smooth regions are predicted more accurately, but sharp edges cannot be predicted efficiently
Solution Approach 1:
The patent applies a low-pass filter adaptively based on the characteristics of the current block. The filter is dynamically enabled or disabled according to whether the block contains sharp edges or smooth regions, allowing the system to optimize prediction accuracy for different content types without compromising edge preservation
Solution Approach 2:
The patent applies filtering selectively to different blocks based on their local characteristics. By analyzing edge presence in each block individually, the system applies low-pass filtering only to smooth regions while preserving sharp edges, achieving local optimization of prediction quality
2Measurement precision
If adaptive filtering is applied to each block based on surrounding statistics, then prediction quality improves, but computational complexity increases
Solution Approach 1:
The patent applies filtering selectively only to blocks that benefit from it, rather than uniformly to all blocks. By using simple statistical checks on surrounding blocks to determine whether filtering is needed, the system achieves partial action that balances quality improvement with computational efficiency
Data Source
AI summary
The present invention relates to intra prediction which may be performed during encoding and/or decoding of an image signal. In particular, the present invention relates to intra prediction of a current block, during which filtering is applied to the prediction signal and/or to signal used for the prediction. The filtering is applied in accordance with a decision based on characteristics of image signal included in block(s) spatially adjacent to the current block.