Boundary Strength Deblocking for Image Decoding Complexity
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Solution Overview
Problem
Existing video compression techniques face challenges in effectively removing deblocking artifacts and enhancing compression efficiency while managing complexity in deblocking filtering processes.
Innovation Solution
A method and apparatus that derive and set boundary strength (bS) values for deblocking filtering units, distinguishing between different coding and prediction blocks, and apply appropriate filtering based on these values to reduce complexity and improve image reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If deblocking filtering is applied to remove blocking artifacts, then image quality is improved, but processing complexity increases
Solution Approach 1:
The patent applies different filtering strengths (bS values) to different boundary regions based on local characteristics. By categorizing boundaries into different types (e.g., strong boundaries, weak boundaries, smooth boundaries) and applying appropriate filtering intensity to each, the system achieves effective artifact removal where needed while avoiding unnecessary processing in other areas, thus balancing image quality improvement with complexity reduction.
Solution Approach 2:
The patent segments the image into different block types and boundary regions, applying deblocking filtering selectively to specific segments. By dividing the processing into distinct regions (intra-coded blocks, inter-coded blocks, different boundary strengths), the system processes only necessary areas, reducing overall computational complexity while maintaining image quality in critical regions.
2Productivity
If deblocking filtering is applied to enhance compression efficiency, then data transmission cost is reduced, but image reconstruction accuracy may deteriorate
Solution Approach 1:
The patent dynamically adjusts filtering parameters (bS values, filter coefficients) based on local image characteristics, block types, and boundary conditions. By changing parameters adaptively rather than applying uniform filtering, the system achieves better compression efficiency through more aggressive filtering where appropriate while preserving reconstruction accuracy in regions requiring finer detail, thus resolving the trade-off between compression and quality.
Data Source
AI summary
A deblocking filtering method, a boundary strength (bS) deriving method, and encoding/decoding method and apparatus using the methods are provided. The bS deriving method includes the steps of: deriving a boundary of a deblocking filtering unit block which is a unit block on which deblocking filtering is performed; and setting a bS for each bS setting unit block in the deblocking filtering unit block. Here, the step of setting the bS includes setting a bS value of a target boundary corresponding to the boundary of the deblocking filtering unit block as the bS setting unit block.