Intra-prediction accuracy in video coding via adjacent samples
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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 data amount, leading to inefficiencies in image coding and decoding processes.
Innovation Solution
The method enhances image coding efficiency by deriving intra prediction values based on adjacent samples within a current block, using neighboring reference samples and virtual reference samples to improve prediction accuracy and reduce residual signal data, thereby optimizing the reconstruction order and coding efficiency.
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 are maintained
Solution Approach 1:
The current block is divided into multiple sub-blocks for separate prediction processing. Each sub-block uses adjacent samples for intra-block intra-prediction, allowing finer-grained compression that maintains local image quality while reducing overall data requirements
Solution Approach 2:
Adjacent samples within the current block are reconstructed and made available before prediction of subsequent samples. This preliminary reconstruction enables more accurate prediction for remaining samples, improving compression efficiency without sacrificing quality
2Measurement precision
If intra-prediction uses only neighboring reference samples, then coding complexity is low, but prediction accuracy decreases for samples far from references
Solution Approach 1:
The prediction approach transitions from using only external neighboring reference samples to incorporating internal adjacent samples from within the current block. This dimensional expansion of the reference sample space improves prediction accuracy for samples distant from block boundaries without significantly increasing complexity
Solution Approach 2:
The current block uses its own already-reconstructed adjacent samples for prediction, rather than relying solely on external reference blocks. This self-service approach improves prediction accuracy using available internal information with minimal additional complexity
3Measurement precision
If adjacent samples of current sample are used for prediction, then intra prediction accuracy improves, but processing complexity increases
Solution Approach 1:
Different prediction approaches are applied to different regions: samples near block boundaries use traditional neighboring reference samples, while samples in the interior use adjacent samples from within the current block. This localized approach improves accuracy where needed without uniformly increasing complexity across the entire block
Data Source
AI summary
An image decoding method, which is performed by a decoding device according to the present invention, comprises the steps of: acquiring the information on an intra-prediction mode of a current block from a received bit stream; deriving neighboring reference samples of the current block; deriving a first prediction value for a current sample of the current block on the basis of the intra-prediction mode and the neighboring reference samples; deriving a second prediction value for the current sample on the basis of adjacent samples of the current sample; and deriving a prediction value for the current sample on the basis of the first prediction value and the second prediction value. According to the present invention, the intra-prediction value can be derived on the basis of the adjacent samples of the current sample within the present block, and the intra-prediction accuracy can be improved therethrough.