Coding Unit Merging for Image Decoding Efficiency
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to increased data amounts, which challenges existing image compression techniques due to diverse device capabilities and network environments, necessitating improved coding efficiency and efficient merging of coding units.
Innovation Solution
A method and device for enhancing image coding efficiency by merging coding units based on their characteristics, using split and merge flag information to combine CUs at different depths, allowing for reduced auxiliary information and improved decoding procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image resolution and quality are improved, then image quality is enhanced, but data amount increases
Solution Approach 1:
The patent merges multiple coding units (CUs) with similar characteristics into a single merged CU. By combining CUs that share similar prediction modes, transformation types, and other coding parameters, the system reduces the total number of CUs that need to be independently coded, thereby decreasing auxiliary information while maintaining high image quality
Solution Approach 2:
The patent segments the image processing into multiple depth levels (depth n and depth n+1), allowing selective merging of CUs at different depths. This hierarchical segmentation enables the system to maintain fine-grained coding where needed while merging CUs in homogeneous regions, optimizing the balance between quality and data compression
2Loss of information
If coding units are merged, then auxiliary information is reduced, but coding complexity increases
Solution Approach 1:
The patent applies different merging strategies to different regions of the image based on local characteristics. CUs with similar characteristics (same prediction mode, transformation type, etc.) are merged, while CUs with different characteristics remain separate. This local quality approach reduces auxiliary information without requiring complex global optimization
Solution Approach 2:
The patent changes the parameters used for CU merging decisions, specifically using a combination of prediction mode, transformation type, and other coding parameters to determine which CUs to merge. By adjusting these parameters and their combinations, the system optimizes the balance between reducing auxiliary information and maintaining manageable coding complexity
Data Source
AI summary
A method for decoding a picture, according to the present invention, comprises the steps of: receiving split flag information and merge flag information; splitting a coding unit (CU) of one or more depths n into CUs of depth n+1, on the basis of the split flag information; generating a merged CU by combining parts of the CUs of the depth n+1, on the basis of the merge flag information; and performing a decoding procedure for generating a restoration picture, on the basis of the generated merge CU. According to the present invention, a decoding procedure can be performed by merging CUs having similar characteristics, and thus auxiliary information to be received and processed is reduced and coding efficiency is improved.