MIP Intra Prediction Using Partial Reference Samples
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to a surge in transmission and storage costs due to higher bit rates, necessitating a high-efficiency image compression technology.
Innovation Solution
An image encoding/decoding method utilizing matrix-based intra prediction (MIP) that generates prediction blocks using only a part of reference samples, such as the left or top reference samples, to enhance encoding/decoding efficiency.
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 increases
Solution Approach 1:
The patent extracts and transmits only the residual information (difference between original and predicted blocks) rather than the complete high-resolution image data. By separating the prediction component (generated locally at decoder) from the residual component (transmitted), the system maintains image quality while significantly reducing transmission cost.
Solution Approach 2:
The patent creates a predicted copy of the image block at the decoder side using matrix-based intra prediction, which replicates the majority of the image information without transmission. Only the differences (residuals) need to be transmitted, reducing the amount of data while preserving reconstruction quality.
2Measurement precision
If high-resolution and high-quality images are stored, then image quality is improved, but storage cost increases
Solution Approach 1:
The patent extracts only the essential residual information needed to reconstruct high-quality images, storing the prediction models and parameters locally rather than storing complete high-resolution image data. This separation reduces storage requirements while maintaining image quality through local reconstruction.
3Measurement precision
If all reference samples are used for MIP prediction, then prediction accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent extracts and uses only the most relevant reference samples (top and left boundaries) for MIP prediction, discarding less useful reference samples. This selective approach maintains prediction accuracy for typical cases while reducing computational complexity by processing fewer reference samples.
Solution Approach 2:
The patent applies different reference sample selection strategies based on local block characteristics and prediction directions. By adapting which reference samples to use based on local requirements rather than uniformly using all available samples, the system optimizes the balance between prediction accuracy and computational complexity for different regions.
Data Source
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AI summary
An image encoding/decoding method and apparatus are provided. The image decoding method according to the present disclosure comprises the steps of: determining an intra prediction mode of the current block; and generating a prediction block of the current block by performing intra prediction on the basis of the determined intra prediction mode, wherein the intra prediction may be restricted to be performed by using only a reference sample within a predetermined range from among available reference samples of the current block.