Chroma Deblocking Boundary Strength at Joint CbCr Block Edges
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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 increased amount of information, necessitating high-efficient image compression technologies.
Innovation Solution
An image encoding/decoding method and apparatus that determines boundary strength for deblocking filtering, utilizing joint CbCr residual coding flags to determine whether to the target boundary, and the joint CbCr residual coding is performed on at least one of the target boundary, and the boundary strength may be determined based on the sum of two adjacent blocks, and the joint CbCr residual coding is determined to be 1, and the boundary strength is determined based on the sum of two first and two second flags for two blocks adjacent to the target boundary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing 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 applies parameter changes by dynamically adjusting the boundary strength parameter during deblocking filtering based on transform coefficient characteristics. By modifying filtering strength parameters according to local signal properties, the system achieves high image quality while reducing unnecessary filtering operations, thus lowering processing costs and enabling efficient compression of high-resolution images.
Solution Approach 2:
The patent implements local quality by applying different boundary strength values to different boundaries within the image based on local transform coefficient analysis. Instead of uniform filtering, the system evaluates local characteristics (presence and magnitude of transform coefficients) to determine appropriate filtering strength for each boundary, optimizing quality where needed while minimizing processing where unnecessary.
2Manufacturing precision
If deblocking filtering is applied to all boundaries, then image quality is improved, but processing time and computational cost increase
Solution Approach 1:
The patent applies partial action by selectively applying deblocking filtering only to boundaries that require it, rather than uniformly processing all boundaries. The system determines boundary strength based on transform coefficient characteristics and applies filtering only when necessary, reducing processing time while maintaining image quality where needed.
Solution Approach 2:
The patent uses parameter changes by varying the boundary strength parameter based on local transform coefficient analysis. When transform coefficients are small or absent, the boundary strength is reduced or filtering is skipped entirely. When coefficients indicate significant detail, stronger filtering is applied, optimizing the balance between processing time and quality improvement.
3Measurement precision
If boundary strength is determined using complex criteria, then filtering accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the boundary strength determination into discrete, manageable steps based on transform coefficient characteristics. Instead of a single complex decision, the system evaluates multiple simple conditions (presence of non-zero coefficients, coefficient magnitude thresholds) and combines them to determine boundary strength, making the complex task more manageable and implementable.
Solution Approach 2:
The patent uses parameter changes by establishing clear thresholds and discrete boundary strength values (e.g., BS=0, 1, 2) that correspond to different transform coefficient patterns. This discretization simplifies the determination process compared to continuous complex criteria, while maintaining sufficient accuracy for effective deblocking filtering.
Data Source
AI summary
An image encoding/decoding method and apparatus are provided. An image decoding method according to the present disclosure may comprise obtaining a reconstructed picture, determining a target boundary of deblocking filtering in the reconstructed picture, determining a boundary strength for the target boundary, and applying deblocking filtering to the target boundary based on the boundary strength. Based on the target boundary being a transform block boundary and a color component of the reconstructed picture being a chroma component, the boundary strength may be determined based on whether joint CbCr residual coding is performed on at least one of two blocks adjacent to the target boundary, and the joint CbCr residual coding may correspond to encoding residual samples for a chroma Cb component and a chroma Cr component as a single transform block.