Curved Intra Prediction Modes for Image Encoding Efficiency
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Solution Overview
Problem
Conventional image encoding/decoding methods face limitations in enhancing encoding efficiency due to the use of only straight-directional prediction in intra prediction, leading to increased data volume and costs in transmitting and storing high-resolution and high-quality images.
Innovation Solution
Incorporating curved intra prediction modes, which include information on intra prediction modes, direction information, and reference pixel positions, specified in units such as pixel groups, horizontal lines, and diagonal lines, to enhance encoding/decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only straight-directional prediction is used in intra prediction, then the encoding/decoding process is simple, but the encoding efficiency is limited and data volume increases
Solution Approach 1:
The patent applies curved intra prediction modes that use curved lines instead of straight lines for prediction. The curved prediction lines are defined by start points, end points, and control points, allowing the prediction to follow curved paths that better match the actual image content. This resolves the contradiction by improving encoding efficiency through more accurate prediction while managing complexity through mathematical curve definitions.
Solution Approach 2:
The patent introduces curvature parameters (control points, start points, end points) to define prediction lines. By varying these parameters, the system can adaptively select between straight and curved prediction modes, adjusting the complexity level based on the local image characteristics. This allows the system to improve encoding efficiency where curved prediction is beneficial while maintaining simplicity where straight prediction suffices.
2Productivity
If curved intra prediction modes are incorporated, then encoding efficiency improves, but the complexity of encoding/decoding increases
Solution Approach 1:
The patent divides the prediction process into distinct segments: straight prediction modes for simple cases and curved prediction modes for complex cases. The curved prediction is further segmented into multiple line types (first type with control point between start and end, second type with control point outside). This segmentation allows the system to apply appropriate complexity only where needed, improving efficiency without uniformly increasing complexity across all blocks.
Solution Approach 2:
The patent implements dynamic selection between straight and curved prediction modes based on image content characteristics. The system adaptively determines whether to use curved prediction by evaluating local image features, and if curved prediction is selected, it dynamically adjusts the curve parameters to match the local structure. This dynamic approach improves encoding efficiency while avoiding unnecessary complexity in regions where simple straight prediction is sufficient.
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.