Transform Coefficient Dequantization Using Adaptive Quantization Regulation Factor
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Solution Overview
Problem
Current video coding/decoding schemes require the transmission of quantization step size information for each code block in the code stream, which reduces coding efficiency due to the overhead of carrying this information.
Innovation Solution
A transform coefficient dequantization method that adaptively determines a quantization regulation factor based on the unit size of the processed unit, allowing for dequantization processing without the need to include quantization step size information in the code stream, using specific algorithms and formulas to calculate the quantization regulation factor and perform dequantization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If quantization step size information is transmitted for each code block in the code stream, then dequantization accuracy is improved, but coding efficiency deteriorates due to increased code length overhead
Solution Approach 1:
The decoding device autonomously determines the quantization step size by analyzing the unit size of the current code block and applying a preset algorithm, eliminating the need for the coding device to transmit this information. This self-service approach resolves the contradiction by achieving accurate dequantization through local analysis rather than relying on transmitted parameters, thereby improving coding efficiency while maintaining dequantization accuracy
Solution Approach 2:
The patent changes the parameter determination approach from transmission-based to calculation-based. The quantization step size is no longer a transmitted parameter but is dynamically calculated using the unit size and a preset algorithm. This parameter transformation resolves the contradiction by reducing code length overhead while preserving the ability to achieve accurate dequantization through algorithmic derivation
2Manufacturing precision
If different quantization step sizes are used for different regions to improve visual quality, then image quality is improved, but device complexity increases due to the need to analyze and determine quantization parameters for each code block
Solution Approach 1:
The complexity of determining appropriate quantization step sizes for different regions is shifted from the coding device to the decoding device. The decoding device performs the analysis of unit sizes and applies the preset algorithm autonomously, allowing the coding device to use a simpler, uniform quantization approach while still achieving region-adaptive quality through the decoder's intelligent processing
Solution Approach 2:
The patent inverts the traditional approach by having the decoding device determine quantization parameters rather than the coding device. This inversion resolves the contradiction by simplifying the coding device's complexity while maintaining the ability to apply different quantization step sizes to different regions, as the decoding device performs the adaptive analysis and parameter determination
Data Source
AI summary
A unit size of a to-be-processed unit corresponding to a first transform coefficient set is determined using division information. Then, a quantization regulation factor for the first transform coefficient set is determined according to a first preset algorithm and the unit size of the to-be-processed unit, and with the first preset algorithm, the quantization regulation factor decreases progressively with the size of the to-be-processed unit. Dequantization processing is performed on a transform coefficient in the first transform coefficient set according to a second preset algorithm using the quantization regulation factor. Therefore, a decoding device adaptively determines the quantization regulation factor for the first transform coefficient set according to the unit size of the to-be-processed unit, and then performs dequantization processing on the transform coefficient in the first transform coefficient set using the determined quantization regulation factor.