Weighted Prediction and Bi-Prediction in High-Resolution Image Coding
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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, necessitating high-efficient image compression technology.
Innovation Solution
An image encoding/decoding method and apparatus that performs weighted prediction with CU-level weight (BCW) and bi-prediction, considering PROF, along with a method for transmitting and storing bitstreams generated by this process.
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 parameters (weight indices, gradient flags) and bi-prediction parameters (motion vectors, reference picture indices) to transform the image encoding process. These parameter changes enable more efficient representation of image data, reducing the bitrate required to maintain high image quality, thereby lowering transmission and storage costs while preserving measurement precision.
2Loss of information
If the amount of transmitted information is increased, then image quality is improved, but transmission cost increases
Solution Approach 1:
The patent transforms image encoding by introducing prediction parameters (weighted prediction weights, bi-prediction motion vectors) that enable more efficient information representation. These parameter changes allow the system to transmit fewer bits while maintaining the same image quality, effectively reducing transmission cost without increasing information loss.
3Measurement precision
If image resolution is improved, then image quality is improved, but the amount of transmitted information increases
Solution Approach 1:
The patent applies parameter changes by introducing advanced prediction parameters (weighted prediction with gradient flags, bi-prediction with motion compensation) that enable high-resolution images to be encoded more efficiently. These parameters allow the system to maintain high image resolution while reducing the quantity of transmitted information through more intelligent prediction and compression algorithms.
Data Source
AI summary
An image encoding/decoding method and apparatus are provided. An image decoding method according to the present disclosure is performed by an image decoding apparatus. The image decoding method comprises deriving a first flag specifying whether to perform weighted prediction on a current block and a weight index BcwIdx of bi-prediction with CU-level weight (BCW) for the current block, determining whether to perform default weighted prediction or explicit weighted prediction on the current block based on the first flag and BcwIdx, and generating a prediction block for the current block by performing the determined method.