Curved Intra Prediction for High-Resolution Image Compression
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Solution Overview
Problem
Conventional intra prediction methods are limited by the use of only straight-directional prediction, which hinders the enhancement of encoding efficiency for high-resolution and high-quality images.
Innovation Solution
Incorporating curved intra prediction modes that include information on intra prediction direction, reference pixel position, and curvature or weight parameters, allowing for improved encoding and decoding efficiency by utilizing pixel groups and neighboring block information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only straight-directional prediction is used in conventional intra prediction, then the method is simple to implement, but encoding efficiency is limited and cannot be enhanced for high-resolution and high-quality images
Solution Approach 1:
The patent applies curved intra prediction modes that use curved lines instead of straight lines to predict pixel values. The curved prediction lines are defined by curvature parameters (e.g., radius of curvature, curvature magnitude) that allow the prediction to follow curved paths through the block, better matching the actual image content geometry and thereby improving encoding efficiency for high-resolution images
Solution Approach 2:
The patent introduces dynamic prediction approaches where the prediction mode can adapt between straight and curved directions based on image content characteristics. The system dynamically selects prediction parameters including curvature values and reference pixel positions, allowing the prediction method to adjust to different image regions and enhance encoding efficiency without fixed complexity
2Productivity
If curved intra prediction modes are incorporated with curvature parameters and reference pixel position information, then encoding efficiency is improved, but the complexity of prediction method increases
Solution Approach 1:
The patent changes the prediction parameters from simple straight-line directions to curved line parameters including curvature magnitude, radius of curvature, and reference pixel positions. These parameter changes enable more accurate prediction of image content while the parameters are efficiently encoded and transmitted, improving encoding efficiency despite the increased parameter complexity
Solution Approach 2:
The patent divides the current block into pixel groups and applies curved intra prediction separately to each group or region. By segmenting the block and applying appropriate curved prediction modes to different segments, the system improves overall encoding efficiency while managing complexity through localized prediction rather than global complex processing
3Loss of energy
If curved intra prediction is used to handle high-resolution image data, then compression efficiency is enhanced, but the amount of information to be transmitted increases due to additional curvature and position parameters
Solution Approach 1:
The patent uses reference pixels from neighboring blocks and copies their values to form prediction blocks. By copying reference pixel values along curved paths defined by curvature parameters, the system achieves efficient compression of high-resolution images while transmitting only the essential curvature and position parameters rather than full pixel data, reducing transmission cost
Data Source
AI summary
The present invention relates to an intra prediction method and apparatus. The image decoding method according to the present invention may comprise decoding information on intra prediction; and generating a prediction block by performing intra prediction for a current block based on the information on intra prediction. The information on intra prediction may include information on an intra prediction mode, and the intra prediction mode may include a curved intra prediction mode.