Image Transform Coding With MTS Index Parsing for Compression Efficiency
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images/videos, particularly in immersive media formats like VR and AR, necessitates a more efficient image/video compression technique to reduce transmission and storage costs.
Innovation Solution
An image coding method and apparatus utilizing Multiple Transform Selection (MTS) to enhance coding efficiency by applying an inverse primary transform based on an MTS index, parsing flag information for significant coefficients, and zeroing out specific block regions to optimize transform coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality images/videos are transmitted or stored, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent applies Multiple Transform Selection (MTS) technology that changes the transform parameters adaptively based on the characteristics of different image blocks. By selecting different transform types (DCT, DST, DRT) for different blocks, the system optimizes compression efficiency while maintaining image quality, thereby reducing transmission and storage costs without sacrificing quality.
2Quantity of substance
If conventional compression techniques are used for high-resolution images, then transmission cost is reduced, but image quality deteriorates
Solution Approach 1:
The patent implements local quality optimization by applying different transform types to different blocks within the image based on their local characteristics. The MTS index indicates which transform type to apply to each block, allowing the system to maintain high image quality in important regions while using more aggressive compression in less critical areas, thus achieving both cost reduction and quality preservation.
3Productivity
If MTS is applied to all blocks, then compression efficiency is improved, but device complexity increases
Solution Approach 1:
The patent applies MTS selectively rather than uniformly to all blocks. The system determines whether to apply MTS based on specific conditions and characteristics of each block, using the full MTS capability only where necessary. This partial application approach maintains compression efficiency benefits while avoiding the complexity overhead of processing every block with MTS, thus resolving the contradiction between productivity and device complexity.
Data Source
AI summary
An image decoding method according to the present document comprises a step of applying an inverse primary transform to a transform coefficient so as to derive residual samples for a current block, wherein: the inverse primary transform is performed on the basis of an MTS index received from a bitstream; the MTS index is parsed on the basis of an effective coefficient not existing in a second area that excludes the left top first area of the current block; and the first area is a left top 16×16 area of the current block.