Image Decoding Chroma QP Offset Signaling for Lower Buffer Use
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Solution Overview
Problem
The increasing demand for high-resolution and 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
An image decoding method that derives CU chroma Quantization Parameter (QP) offset information based on the tree type and size of the current chroma block, including a CU chroma QP offset flag and index, to enhance data coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CU chroma QP offset information is always signaled regardless of transform block content, then chroma coding precision is improved, but data transmission volume and buffer requirements increase
Solution Approach 1:
The patent applies partial action by selectively signaling CU chroma QP offset information only when necessary (when the first transform block contains non-zero coefficients or based on specific block size conditions). This avoids the excessive action of always signaling the offset information, thereby reducing data transmission volume while maintaining chroma coding precision where it matters most.
Solution Approach 2:
The patent implements local quality by applying different signaling strategies to different transform blocks within the same chroma block. Specifically, the decision to signal CU chroma QP offset information is made locally based on the characteristics of each transform block (presence of non-zero coefficients, block size), rather than applying a uniform approach to the entire chroma block.
2Measurement precision
If CU chroma QP offset information is signaled for all transform blocks, then chroma decoding accuracy is improved, but buffer requirements and device complexity increase
Solution Approach 1:
The patent uses partial action to avoid buffering CU chroma QP offset information for all transform blocks. Instead, it only buffers and processes this information for transform blocks that meet specific criteria (containing non-zero coefficients or meeting size thresholds), thereby reducing buffer requirements and device complexity while maintaining decoding accuracy where needed.
Solution Approach 2:
The patent extracts and processes CU chroma QP offset information only for relevant transform blocks rather than handling all blocks uniformly. This extraction approach separates the necessary processing from unnecessary buffering, reducing device complexity and buffer requirements while preserving chroma decoding accuracy for blocks that actually require it.
3Measurement precision
If high-resolution and high-quality images are transmitted, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent changes the parameter of QP offset signaling based on transform block characteristics (presence of non-zero coefficients, block size). This parameter change allows the system to maintain high image quality by preserving necessary chroma information while reducing transmission cost by avoiding redundant QP offset data for blocks where it is not needed.
Solution Approach 2:
The patent applies partial action in transmitting chroma QP offset information, sending it only when transform blocks contain non-zero coefficients or meet specific size criteria. This reduces the overall transmission volume and cost while maintaining high image quality by ensuring that important chroma information is preserved.
Data Source
AI summary
A method by which a decoding device decodes an image, according to the present document, comprises the steps of: acquiring image information; and generating a reconstruction picture on the basis of the image information.


