Adaptive Intra Prediction Filtering for Video Coding
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Solution Overview
Problem
High-resolution and high-quality image data requires efficient compression techniques to reduce transmission and storage costs, as conventional methods struggle with the increased amount of information needed for high-definition and ultra-high-definition images.
Innovation Solution
An intra-prediction method and device that adaptively derive filter types and coefficients based on the intra-prediction mode and position of prediction samples, applying filtering to improve prediction accuracy and reduce data transmission by using various filter patterns and determining filter strength accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional compression techniques are used for high-resolution images, then transmission and storage costs increase, but image quality and resolution requirements cannot be met
Solution Approach 1:
The patent applies filtering operations to prediction samples with adjustable filter strengths and types, changing the parameters of the prediction process to improve prediction accuracy and reduce residual data, thereby lowering transmission and storage costs while maintaining image quality
Solution Approach 2:
The patent performs filtering on prediction samples before generating residual signals, preparing the data in advance to reduce the amount of information that needs to be transmitted and stored, thus reducing transmission and storage costs while preserving image quality
2Measurement precision
If filtering is applied to prediction samples, then prediction accuracy improves, but device complexity increases
Solution Approach 1:
The patent applies filtering selectively based on prediction mode and sample position, using different filter strengths (e.g., strong filtering for certain modes, weak filtering for others) to achieve sufficient prediction accuracy without unnecessarily increasing device complexity
Solution Approach 2:
The patent determines filter application and strength based on local characteristics such as prediction mode and sample position within the block, applying filtering where it provides the most benefit while avoiding unnecessary filtering in other areas, thus balancing accuracy improvement with complexity management
Data Source
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AI summary
An intra prediction method according to the present invention comprises the steps of: acquiring intra prediction mode information from a bitstream; deriving neighboring samples of a current block; determining an intra prediction mode for the current block on the basis of the intra prediction mode information; deriving a prediction sample of the current block on the basis of the intra prediction mode and the neighboring samples; determining filtering reference samples for the prediction sample on the basis of the intra prediction mode; and deriving a filtered prediction sample by applying filtering to the prediction sample on the basis of the filtering reference samples. According to the present invention, a prediction sample can be adaptively filtered according to the intra prediction mode, and intra prediction performance can be improved.