Image Decoding via Neighboring Block Correlation
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality images leads to a significant increase in data transmission and storage costs due to the large amount of information required, necessitating a more efficient image compression technique.
Innovation Solution
A method and device for improving image coding efficiency by using prediction modes that leverage information from neighboring blocks, specifically deriving correlation information between prediction and reconstructed samples to generate modified prediction blocks, thereby reducing residual data and enhancing overall coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution, high-quality image data is transmitted or stored using conventional methods, then image quality is maintained, but transmission cost and storage cost increase significantly
Solution Approach 1:
The patent applies feedback by utilizing reconstructed samples from neighboring blocks to generate prediction modes for the current block. The decoder uses the reconstructed block of the neighboring block to derive prediction modes and correlation information, which are then fed back to improve the prediction accuracy of the current block, thereby reducing residual data and compression cost while maintaining image quality
Solution Approach 2:
The patent introduces an intermediary mechanism by using the reconstructed block of the neighboring block as a mediator to derive prediction modes and correlation information. This intermediary data serves as a bridge between already-decoded neighboring blocks and the current block being decoded, enabling more accurate prediction without directly transmitting additional high-quality data
2Productivity
If conventional prediction methods are used without utilizing neighboring block information, then decoding complexity is reduced, but coding efficiency and prediction accuracy deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-deriving prediction modes and correlation information from the reconstructed block of the neighboring block before decoding the current block. The encoder and decoder both perform these derivations in advance using already-available neighboring block data, which streamlines the decoding process and improves coding efficiency without significantly increasing complexity
Solution Approach 2:
The patent implements self-service by enabling the decoding process to utilize its own previously decoded output (the reconstructed neighboring block) to improve current block decoding. The system serves itself by using the reconstructed neighboring block to generate prediction modes and correlation information, eliminating the need for external additional data or complex processing
Data Source
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AI summary
According to the present invention, an image decoding method performed by a decoding device comprises the steps of: deriving a prediction mode of a current block; generating a prediction block of the current block on the basis of the prediction mode of the current block; deriving a neighboring block of the current block; deriving correlation information on the basis of a reconstruction block of the neighboring block and a prediction block of the neighboring block; deriving a modified prediction block of the current block on the basis of the prediction block of the current block and the correlation information; and deriving a reconstruction block of the current block on the basis of the modified prediction block. According to the present invention, a current block can be predicted in consideration of the correlation between a prediction sample and a reconstruction sample of a neighboring block, and a complicated image can be more efficiently reconstructed through the prediction.