Image Weighted Prediction Signaling for Efficient Bitstream Compression
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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 rise in the amount of transmitted information or bits, necessitating high-efficient image compression technology.
Innovation Solution
An image encoding/decoding method and apparatus that utilizes weighted prediction and efficiently signals syntax elements through a weight parameter syntax structure, enabling improved encoding/decoding efficiency by parsing weight information from a bitstream to decode current blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement 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 introducing weighted prediction with adjustable weight values (e.g., weightA and weightB) to optimize the prediction process. By changing the prediction parameters based on block characteristics and position, the system achieves better compression efficiency, reducing the amount of data needed while maintaining image quality. The weight parameters are dynamically adjusted based on factors like block size, position in the image, and prediction accuracy metrics.
Solution Approach 2:
The patent implements local quality by applying different prediction weights and methods to different regions of the image. Specifically, the system divides the image into blocks and applies weighted prediction selectively based on local characteristics such as block position, block size, and content complexity. This allows optimal compression for each region while maintaining overall image quality, rather than applying uniform compression throughout.
2Productivity
If weighted prediction is used to improve compression efficiency, then encoding/decoding efficiency is improved, but complexity of syntax element signaling increases
Solution Approach 1:
The patent applies segmentation by dividing the syntax element signaling into multiple components: a first syntax element indicating whether weighted prediction is used, a second syntax element specifying the weight value, and optional third syntax elements for additional parameters. This segmented approach allows flexible signaling of weighted prediction parameters while maintaining clarity in the bitstream structure, balancing complexity with efficiency.
Solution Approach 2:
The patent implements dynamics by making the syntax element signaling adaptive rather than fixed. The system dynamically selects which syntax elements to signal based on the actual weighted prediction parameters needed for each block. This dynamic signaling approach reduces unnecessary complexity in cases where simple prediction suffices, while enabling advanced weighted prediction when beneficial.
Data Source
AI summary
An image encoding/decoding method and apparatus are provided. An image decoding method performed by an image decoding apparatus may comprise parsing weight information specifying a weight for a reference sample from a bitstream according to a weight parameter syntax structure, and decoding a current block by performing inter prediction based on the weight information. The parsing according to the weight parameter syntax structure may comprise obtaining weight number information specifying the number of weight information obtained from the bitstream according to the weight parameter syntax structure and obtaining weight information from the weight parameter syntax structure based on the weight number information.