Intra-Frame Prediction with Selective Pixel Filtering
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, with options for sub-block partitioning and using default modes or MPM candidates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If intra prediction is performed using conventional methods, then encoding/decoding can be performed, but encoding/decoding efficiency is insufficient for high-resolution and high-quality 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 to adapt to local variations within the block, improving prediction accuracy for high-resolution images while maintaining efficient processing through standardized sub-block handling procedures
Solution Approach 2:
Different prediction modes and filtering techniques are applied to different sub-blocks based on their local characteristics. The prediction process adapts to local image features by selecting appropriate reference pixels and filtering strengths for each sub-block, thereby improving overall prediction accuracy without uniformly increasing complexity across the entire block
2Manufacturing precision
If filtering is applied to reference pixels, then prediction accuracy is improved, but processing complexity increases
Solution Approach 1:
Filtering is applied selectively rather than uniformly to all reference pixels. The filtering operation is performed only on specific reference pixels based on the prediction mode and block characteristics, achieving sufficient prediction accuracy without the full computational cost of filtering all reference pixels in all cases
3Manufacturing precision
If intra prediction is performed in units of sub-blocks, then prediction accuracy is improved, but computational complexity increases
Solution Approach 1:
The block is segmented into sub-blocks to capture local variations, but the segmentation follows a regular grid pattern with standardized processing for each sub-block. This approach improves prediction accuracy by adapting to local features while controlling computational complexity through consistent sub-block processing procedures
Solution Approach 2:
The same intra prediction algorithm and filtering procedures are applied universally across all sub-blocks. This multi-functional approach allows the system to handle different block sizes and configurations using a single standardized process, improving prediction accuracy through local adaptation while avoiding the complexity of multiple specialized algorithms
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.


