Residual Image Decoding With Adaptive Context Bin Limits
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality images leads to higher transmission and storage costs due to the increased amount of information, necessitating a more efficient image compression technique.
Innovation Solution
Adaptive adjustment of the maximum number of context-coded bins for context syntax elements in transform blocks to enhance residual coding efficiency, including methods for encoding and decoding residual information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of context-coded bins for residual information is increased to improve coding accuracy, then the compression efficiency deteriorates due to increased data transmission and processing requirements
Solution Approach 1:
The patent dynamically adjusts the maximum number of context-coded bins based on the transform block size and residual characteristics. Different bin limits are applied for different block sizes (e.g., smaller blocks use fewer bins than larger blocks), optimizing the balance between coding accuracy and compression efficiency for each specific case rather than using a fixed parameter for all blocks.
Solution Approach 2:
The system implements adaptive adjustment of the maximum number of context-coded bins based on real-time analysis of residual information and transform block properties. The bin limit is not static but varies according to the specific characteristics of each block, allowing the system to optimize performance dynamically across different image regions and coding scenarios.
2Device complexity
If a fixed maximum number of context-coded bins is used for all transform blocks, then the device complexity is reduced, but the coding efficiency deteriorates due to inability to adapt to different block characteristics
Solution Approach 1:
Instead of using a completely fixed parameter, the system implements variable parameter selection based on transform block size and residual characteristics. The maximum number of context-coded bins is selected from a set of predefined values depending on the block dimensions and residual energy, achieving adaptability without requiring complex real-time calculations or excessive computational overhead.
Data Source
AI summary
An image decoding method, which is performed by a decoding device according to the present document, is characterized by including: a step for receiving a bitstream including residual information about the current block; a step for deriving a maximum value of the number of context-encoding bins for context syntax elements coded on the basis of context included in the residual information; a step for entropy-decoding the context syntax elements on the basis of the maximum value; a step for deriving conversion coefficients for the current block on the basis of the entropy-decoded context syntax elements; a step for deriving a residual sample for the current block on the basis of the conversion coefficients; and a step for generating a reconstructed picture on the basis of the residual sample for the current block.