Intra Prediction Using Sub-Blocks and Adaptive Pixel Lines
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image compression technologies face challenges in efficiently encoding and decoding high-resolution and high-quality images, particularly in intra prediction, which affects encoding/decoding efficiency.
Innovation Solution
The method involves deriving an intra prediction mode for a current block, determining a pixel line for intra prediction, performing filtering on a reference pixel, and selectively applying corrections based on coding parameters and flags, including sub-block partitioning and using Most Probable Mode (MPM) candidates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If intra prediction is performed using traditional methods on the entire current block, then the encoding process is simple, but the encoding/decoding efficiency is insufficient for high-resolution images
Solution Approach 1:
The current block is divided into multiple sub-blocks, and intra prediction is performed separately for each sub-block. This segmentation allows the prediction process to adapt to local variations in high-resolution images, improving encoding efficiency by capturing fine-grained details that would be lost in a global prediction approach.
2Measurement precision
If filtering is applied to all reference pixels, then prediction accuracy improves, but processing time and computational complexity increase
Solution Approach 1:
Filtering is applied selectively to reference pixels based on local characteristics. The method determines whether filtering is needed for each reference pixel or pixel line based on the prediction mode and local image properties, rather than uniformly filtering all reference pixels. This approach maintains prediction accuracy where needed while reducing unnecessary processing elsewhere.
3Measurement precision
If multiple pixel lines are used for intra prediction, then prediction accuracy improves, but the complexity of determining and processing multiple reference lines increases
Solution Approach 1:
The method dynamically determines the number and configuration of pixel lines to be used for intra prediction based on the prediction mode and block characteristics. Rather than always using a fixed number of reference lines, the system adapts the reference line configuration to match the local image structure, improving accuracy while managing complexity through adaptive selection.
4Measurement precision
If correction operations are performed on prediction pixels, then prediction accuracy improves, but the number of processing operations and computational load increase
Solution Approach 1:
Correction operations are performed selectively based on the prediction mode and local image characteristics. The system automatically determines whether correction is needed for each prediction pixel or sub-block, applying corrections only where they will improve accuracy. This self-adaptive approach maintains high prediction quality while avoiding unnecessary processing operations that would reduce throughput.
Data Source
AI summary
An intra-frame prediction method and device, according to the present invention, enables deriving an intra-frame prediction mode of a current block, determining a pixel line, among a plurality of pixel lines, for the intra-frame prediction of the current block, and carrying out the intra-frame prediction of the current block on the basis of the intra-frame prediction mode and the pixel line. In addition, a first reference pixel of the determined pixel line may be selectively filtered, and a prediction pixel of the current block may be selectively corrected, and thus the accuracy of the intra-frame prediction may be improved.