Curved Intra Prediction Modes for Image Block Decoding Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image encoding/decoding techniques face limitations in enhancing encoding efficiency due to the use of only straight-directional prediction in intra prediction, leading to increased costs in transmitting and storing high-resolution and high-quality image data.
Innovation Solution
Incorporating curved intra prediction modes that include information on intra prediction modes, direction information, and reference pixel positions, specified in units such as pixel groups, horizontal lines, and diagonal lines, with curvature and weight parameters, 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 intra prediction process is simple, but encoding efficiency cannot be enhanced for high-resolution and high-quality images
Solution Approach 1:
The patent introduces 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 geometry, thereby improving encoding efficiency for high-resolution images with curved features
Solution Approach 2:
The patent segments the prediction process by dividing the current block into multiple pixel groups and applying different curved prediction modes to different groups. This allows selective application of complex curved prediction only where needed, rather than uniformly across the entire block, thus improving encoding efficiency while controlling complexity
2Productivity
If curved intra prediction modes are introduced, then encoding efficiency is improved, but the complexity of the prediction process increases
Solution Approach 1:
The patent applies different prediction modes to different local regions (pixel groups) within the current block. By determining curved prediction modes locally for each pixel group based on neighboring block information, the system improves encoding efficiency in regions that benefit from curved prediction while maintaining simpler processing in other regions
Solution Approach 2:
The patent implements curved intra prediction as an optional enhancement rather than a mandatory requirement. The system can selectively apply curved prediction modes only when beneficial, using flags to indicate whether curved prediction is enabled, thus improving encoding efficiency where needed while avoiding unnecessary complexity
3Measurement precision
If reference pixel positions are specified in detailed units (pixel groups, horizontal lines, diagonal lines), then prediction accuracy is improved, but information processing complexity increases
Solution Approach 1:
The patent represents curved prediction lines using a compact set of parameters: start point coordinates, end point coordinates, and control point coordinates. This parameterization allows precise definition of curved paths without requiring detailed specification of every pixel position along the curve, thus achieving high precision while controlling information processing complexity
Data Source
AI summary
An intra prediction method and apparatus are discussed. In an example, an image decoding method can include deriving an intra prediction mode of a current block, deriving neighboring reference samples of the current block, deriving filtered reference samples by performing filtering on the neighboring reference samples, and generating a predicted block based on the filtered reference samples. For deriving the neighboring reference samples, an unavailable neighboring reference sample can be substituted by using an available neighboring reference sample.