ALF Coefficient Signaling Using Zero-Order Golomb Coding
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality images and videos, such as 4K or 8K, has led to higher data transmission and storage costs due to the increased amount of information required. Additionally, techniques like adaptive loop filtering (ALF) require efficient signaling of related information to enhance compression efficiency and visual quality.
Innovation Solution
A method and apparatus for efficiently signaling ALF-related information using a 0-th order exponential Golomb scheme for parsing procedures related to absolute values of luma/chroma ALF filter coefficients, and fixing a range of values for these coefficients to reduce operational overhead and complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution, high-quality image/video data is transmitted or stored, then image quality and resolution are improved, but transmission cost and storage cost increase due to increased data volume
Solution Approach 1:
The patent extracts and removes redundant information from image/video data through advanced compression techniques. By identifying and eliminating unnecessary data elements while preserving essential visual information, the system reduces overall data volume while maintaining high image quality, thus resolving the contradiction between quality and data quantity.
Solution Approach 2:
The patent employs parameter optimization in compression algorithms to achieve better compression ratios. By adjusting encoding parameters, transform coefficients, and filtering settings, the system maximizes data reduction while preserving visual quality, effectively managing the trade-off between image quality and data volume.
2Manufacturing precision
If adaptive loop filtering (ALF) is applied to enhance compression efficiency and visual quality, then image quality is improved, but signaling overhead and computational complexity increase
Solution Approach 1:
The patent applies adaptive loop filtering selectively rather than uniformly across all image blocks. By identifying regions that benefit most from filtering and applying ALF only to those areas, the system reduces signaling overhead and computational complexity while maintaining visual quality improvement in critical regions.
Solution Approach 2:
The patent optimizes ALF parameters such as filter coefficients and application regions to minimize signaling overhead. By using compact parameter representations and intelligent parameter selection, the system reduces the complexity of signaling ALF-related information while preserving the quality enhancement benefits.
Data Source
AI summary
According to embodiments of the present document, a zero-order exponential Golomb coding scheme(ue(v)) is used for a parsing procedure of an information/syntax element related to luma/chroma ALF filter coefficient absolute values, so that operational overhead and complexity can be reduced. In addition, since the range of values of the information related to the luma/chroma ALF filter coefficient absolute values is fixed, coding that uses ue(v) can be efficiently performed.