Sub-block Deblocking Filter for Video Coding Artifacts
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Solution Overview
Problem
Current video coding techniques face challenges in efficiently addressing blocking artifacts in video data, particularly with the introduction of flexible block structures and advanced prediction modes, which can lead to increased computational complexity and reduced coding efficiency.
Innovation Solution
The method involves partitioning current blocks into sub-blocks using Short Distance Intra Prediction (SDIP) or Sub-Block Transform (SBT) and applying a constrained de-blocking filter with adjusted boundary strength values to align internal block boundaries with de-blocking grids, thereby improving filtering efficiency and reducing artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If flexible block structures and advanced prediction modes are used, then coding efficiency is improved, but blocking artifacts increase
Solution Approach 1:
The patent applies different boundary strength values to different boundaries based on their local characteristics. Internal block boundaries within sub-blocks use a first boundary strength value, while external boundaries use a second boundary strength value. This localized differentiation allows effective artifact reduction at critical boundaries while maintaining coding efficiency benefits from flexible block structures.
Solution Approach 2:
The patent segments the block structure into sub-blocks with internal boundaries, allowing differential de-blocking filter application. By dividing the coding block into sub-blocks and applying specific boundary strength values to internal boundaries, the patent addresses blocking artifacts locally without compromising the overall coding efficiency improvements from flexible block structures.
2Object-generated harmful factors
If de-blocking filter is applied to all boundaries, then blocking artifacts are reduced, but computational complexity increases
Solution Approach 1:
The patent applies de-blocking filter with different boundary strength values selectively to different boundaries. Internal block boundaries use a first boundary strength value while external boundaries use a second boundary strength value, allowing computational resources to be focused on boundaries that most need filtering while reducing unnecessary computation at boundaries that require less processing.
Solution Approach 2:
The patent changes the boundary strength parameter based on boundary location and type. By setting different boundary strength values (first boundary strength value for internal boundaries, second boundary strength value for external boundaries), the patent optimizes the de-blocking filter strength to balance artifact reduction with computational complexity management.
3Object-generated harmful factors
If boundary strength is increased to remove artifacts, then filtering effectiveness is improved, but distortion of original image data increases
Solution Approach 1:
The patent applies different boundary strength values to different boundaries based on their specific needs. Internal block boundaries within sub-blocks receive a first boundary strength value that is optimized for their characteristics, while external boundaries receive a second boundary strength value. This localized approach ensures effective artifact removal without excessive filtering that would distort original image data.
Solution Approach 2:
The patent adjusts the boundary strength parameter dynamically based on boundary location and type. By setting appropriate boundary strength values for different boundaries, the patent optimizes filtering effectiveness while preventing over-filtering that would cause distortion of the original image data.
Data Source
AI summary
Method and apparatus for constrained de-blocking filter are disclosed. According to one method, a current block is partitioned into a plurality of sub-blocks using SDIP (Short Distance Intra Prediction mod). A first Bs (boundary strength) for an internal block boundary of the plurality of sub-blocks is determined by setting the first Bs to a second Bs of an Intra-coded boundary block of the current block. De-blocking process is applied, using the first Bs, to reconstructed samples across the internal block boundary of the plurality of sub-blocks to generate filtered-reconstructed samples. In another method, the current block is partitioned into two sub-blocks using SBT (sub-block transform) horizontally or vertically and the first Bs (boundary strength) is determined for an internal block boundary between the two sub-blocks by setting the first Bs to a second Bs of a non-zero cbf (coded block flag) block of the two sub-blocks in step.