Reference-Pixel Processing for Image Intra Prediction
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Solution Overview
Problem
Existing image compression technologies face challenges in efficiently performing intra prediction based on reference pixel availability, inter prediction in units of sub-blocks, and determining affine candidates.
Innovation Solution
The method involves checking a reference pixel region, determining a reference pixel processing setting based on availability, generating a candidate list for motion information prediction, deriving a control point vector and motion vector of a current block, and performing intra and inter prediction using these vectors, with affine candidates including spatial, temporal, and constructed candidates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If intra prediction is performed based on reference pixel availability, then coding performance is improved, but device complexity increases due to additional availability checking and processing setting determination
Solution Approach 1:
The patent performs preliminary checking of reference pixel region availability before executing intra prediction. By determining whether reference pixels are available in advance and setting processing flags accordingly, the system prepares the prediction mode selection in advance, avoiding complex runtime decisions and reducing actual processing complexity during encoding.
Solution Approach 2:
The patent dynamically adjusts the intra prediction processing based on reference pixel availability. The system changes its behavior mode according to the determined availability status, enabling flexible adaptation between different prediction scenarios (with/without reference pixels) to optimize coding performance for various content types.
2Measurement precision
If inter prediction is performed in units of sub-blocks with affine candidates, then inter prediction accuracy is enhanced, but encoding/decoding time increases due to additional candidate generation and processing
Solution Approach 1:
The patent divides the current block into multiple sub-blocks and performs inter prediction independently for each sub-block. By segmenting the processing unit, the system achieves higher prediction accuracy through localized motion compensation while managing complexity through systematic division of the overall encoding task.
Solution Approach 2:
The patent changes the motion compensation parameters by introducing affine transformation models with multiple control points. This parameter change enables more accurate modeling of complex motion patterns in sub-blocks, improving prediction accuracy for scenes with non-uniform motion while the system manages the increased computational load through efficient candidate management.
Data Source
AI summary
An image prediction method according to the present invention may comprise: identifying a reference pixel region designated for obtaining correlation information; determining a reference pixel processing configuration on the basis of determination of the availability of the reference pixel region; and performing intra prediction according to the determined reference pixel processing. As described above, performing intra prediction on the basis of the availability of a reference pixel according to the present invention can improve encoding performance.