Adaptive MTS Selection in CIIP Image Encoding Blocks
Find Innovative SolutionsGenerate Solutions
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 rise in the amount of transmitted information or bits, necessitating high-efficient image compression technology.
Innovation Solution
An adaptive Multiple Transform Selection (MTS) is applied in a Combined Inter and Intra Prediction (CIIP) mode to determine the MTS set based on the prediction mode of the current block, enhancing encoding/decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality image data are transmitted, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent applies Multiple Transform Selection (MTS) to change the transformation parameters based on prediction mode. By selecting different transform types (e.g., DCT, DST) according to whether intra or inter prediction is used, the encoding efficiency is improved, allowing better compression ratios while maintaining image quality, thus reducing transmission and storage costs
2Productivity
If adaptive MTS is applied in CIIP mode, then encoding/decoding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent applies different transform types locally based on the prediction mode of each block. When intra prediction is used, one transform type is selected; when inter prediction is used, a different transform type is selected. This localized adaptation improves encoding efficiency without requiring complex global optimization, as each block is processed independently based on its prediction mode
Solution Approach 2:
The patent dynamically selects transform types based on the prediction mode determined during encoding. The MTS set is adaptively changed according to whether CIIP mode or other prediction modes are used, allowing the system to optimize transformation parameters in real-time based on content characteristics, thereby improving encoding efficiency
Data Source
AI summary
An image encoding/decoding method and apparatus are provided. The image encoding method comprises determining whether multiple transform selection (MTS) is applied to a current block and performing transform on the current block based on a predetermined MTS set, based on the MTS being applied to the current block. The MTS set may be determined based on whether a prediction mode of the current block is a combined inter and intra prediction (CIIP) mode.


