Video Residual Coding Without Level Mapping
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to a significant increase in transmission and storage costs due to the large amount of information required, necessitating a more efficient image compression technique.
Innovation Solution
A method and apparatus for improving image coding efficiency by deriving residual coefficients without performing level mapping, utilizing simplified residual data coding in image decoding and encoding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional image coding techniques are used for high-resolution images, then image quality is maintained, but transmission and storage costs increase significantly
Solution Approach 1:
The image block is divided into multiple sub-blocks, and residual coefficients are derived separately for each sub-block. This segmentation allows for more precise local compression while maintaining overall image quality, reducing the total number of bits required to represent the entire image block.
Solution Approach 2:
Different prediction modes and residual coding strategies are applied to different sub-blocks based on their local characteristics. This local quality approach ensures that regions with high frequency content maintain better quality while regions with smooth gradients achieve higher compression, optimizing the overall quality-compression tradeoff.
2Measurement precision
If level mapping is performed for residual coefficient derivation, then coding accuracy is improved, but coding complexity increases
Solution Approach 1:
The level mapping process is extracted and eliminated from the residual coefficient derivation. Instead of performing complex level mapping operations, the patent directly derives residual coefficients from the difference between the current block and prediction block, significantly reducing computational complexity while maintaining adequate coding accuracy.
Solution Approach 2:
The patent changes the parameter representation by directly using the difference between current and prediction blocks as residual coefficients, rather than transforming these differences through level mapping. This parameter change simplifies the computation while preserving the essential information needed for accurate reconstruction.
3Device complexity
If simplified residual data coding is applied, then coding complexity is reduced, but compression efficiency may be compromised
Solution Approach 1:
By segmenting the block into sub-blocks and applying simplified residual coding to each, the patent achieves better compression efficiency than applying simplified coding to the entire block at once. The segmentation allows the simplified method to adapt to local variations, maintaining efficiency while keeping complexity low.
Solution Approach 2:
The patent applies simplified residual data coding partially to each sub-block rather than requiring full-level mapping for the entire image. This partial application of simplification achieves the desired balance between reduced complexity and maintained compression efficiency.
Data Source
AI summary
A method for decoding a video performed by a decoding device according to the present document is characterized by comprising: a step for acquiring video information including prediction mode information and residual information through a bitstream; a step for deriving a prediction mode of a current block on the basis of the prediction mode information; a step for deriving a prediction sample on the basis of the prediction mode; a step for deriving a current residual coefficient on the basis of residual syntax elements for the current residual coefficient in the current block; a step for deriving a residual sample on the basis of the current residual coefficient; and a step for deriving a reconstructed sample of the current block on the basis of the prediction sample and the residual sample.