Entropy Coding Mapping for Video Matching Parameters
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Solution Overview
Problem
Existing image compression technologies face inefficiencies due to direct entropy coding of matching relationship parameters, leading to increased bitstream data generation when large integers appear frequently.
Innovation Solution
An image coding and decoding method that involves preprocessing and matching coding to generate matching relationship parameters, followed by one-to-one mapping and entropy coding, dividing the value range into subordinate ranges to adjust mapping relationships dynamically based on statistical characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If direct entropy coding is applied to matching relationship parameters, then the coding process is simple, but large integers appear frequently leading to increased bitstream data generation
Solution Approach 1:
The patent applies a mapping operation before entropy coding to transform the matching relationship parameters. This preliminary transformation repositions frequently occurring large integers to smaller values in the mapped range, reducing the number of bits required for their representation and thereby decreasing the overall bitstream volume without adding significant computational complexity
Solution Approach 2:
The patent changes the parameter representation by applying a value-range mapping function. This transformation modifies the numerical values of matching relationship parameters, specifically converting large integers that occur frequently into smaller integers, which directly reduces the bitstream data volume while maintaining the information content
2Quantity of substance
If mapping is applied to adjust frequency distribution, then data compression performance improves, but the coding process becomes more complex
Solution Approach 1:
The mapping operation is performed as a preliminary step before entropy coding, transforming the parameter values in advance. This approach achieves compression improvement by optimizing the frequency distribution of values, while the added complexity is minimal since it involves a straightforward value transformation that can be efficiently implemented
Solution Approach 2:
The patent applies a mapping function that changes the parameter values to optimize their frequency distribution. This transformation improves compression performance by ensuring that more frequent values are represented by smaller integers, and the complexity increase is offset by the significant reduction in bitstream volume
Data Source
AI summary
An image coding method and apparatus and an image decoding method and apparatus are provided by the present invention. The image coding method includes: implementing matching coding for pixels of an input video image to obtain one or more matching relationship parameters, herein the matching relationship parameters are parameters used in a process of constructing predicted values and/or reconstructed values of the pixels in the image; mapping the matching relationship parameters to obtain mapped values of the matching relationship parameters; and performing entropy coding on the mapped values of the matching relationship parameters. The present invention addresses the problem existing in the conventional art which is caused by the direct implementation of entropy coding for matching relationship parameters and achieves a good data compression effect through entropy coding.