Intra-Frame Prediction Using Multi-Line Sub-Block Correction
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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 default modes or MPM candidates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If intra prediction is performed using conventional methods on entire blocks, 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 whole-block prediction.
Solution Approach 2:
The patent introduces a new dimension to intra prediction by utilizing multiple pixel lines (not just the traditional single reference line). This multi-line approach adds spatial depth to the prediction process, enabling better reconstruction of image details in high-resolution contexts.
2Measurement precision
If filtering is applied to all reference pixels, then prediction accuracy improves, but processing complexity and time increase
Solution Approach 1:
Filtering is applied selectively based on the intra prediction mode and sub-block characteristics rather than uniformly to all reference pixels. This local quality approach applies filtering only where it provides the most benefit, maintaining prediction accuracy while reducing unnecessary processing overhead.
Solution Approach 2:
The patent dynamically adjusts filtering parameters based on the intra prediction mode and block characteristics. By changing filtering parameters adaptively rather than using fixed parameters, the system achieves high prediction accuracy while optimizing processing time for different image regions.
3Measurement precision
If multiple pixel lines are used for intra prediction, then prediction accuracy for high-resolution images improves, but the complexity of determining and processing multiple lines increases
Solution Approach 1:
The prediction process is segmented into multiple pixel line processing stages, where each line is processed independently according to its specific characteristics. This segmentation manages complexity by breaking down the multi-line processing into manageable, standardized operations that can be efficiently implemented.
Solution Approach 2:
The patent develops a universal multi-line prediction framework that can handle different prediction modes and block types through a common processing architecture. This multi-functionality approach reduces complexity by providing a standardized method for processing multiple pixel lines across various prediction scenarios.
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.