Intra Prediction Weighting for Image Compression Efficiency
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Solution Overview
Problem
Current methods for encoding and decoding high-resolution or high-quality images are inefficient in determining optimal data units for compression, leading to suboptimal compression and decompression processes.
Innovation Solution
The method involves determining a transform coefficient from a bitstream, generating an intra prediction value based on the position and mode of a current sample in a block, and using weights to filter reference samples to create a prediction block, which is then used to reconstruct the image block.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional image compression methods are used, then the encoding and decoding process is simple, but the compression efficiency and quality are suboptimal
Solution Approach 1:
The patent divides the image into multiple coding units with different shapes (square and non-square blocks) and applies different intra prediction modes to each segment based on its characteristics. This segmentation allows optimized compression for each region while maintaining overall simplicity through standardized processing rules for each segment type.
Solution Approach 2:
The patent applies different intra prediction modes (angular, planar, DC) to different coding units based on their specific characteristics and content. Each coding unit receives the prediction mode that best suits its local content, improving compression efficiency without requiring complex global processing.
2Manufacturing precision
If adaptive intra prediction is performed for each coding unit, then the prediction accuracy and quality improve, but the processing time and complexity increase
Solution Approach 1:
The patent determines the intra prediction mode for each coding unit before performing the actual prediction. By pre-determining the appropriate mode based on coding unit shape and content characteristics, the system avoids trial-and-error prediction processes and reduces processing time while maintaining high accuracy.
Solution Approach 2:
The patent dynamically selects the intra prediction mode based on the specific characteristics of each coding unit (square vs. non-square shape, content type). This dynamic adaptation allows the system to optimize prediction accuracy for each unit without applying a fixed complex process to all units uniformly.
Data Source
AI summary
Provided is an image decoding method including: generating an intra prediction value of a current sample based on a position of the current sample in a current block and an intra prediction mode of the current block; determining a sample value of at least one filtering reference sample to be filtered and a first weight with respect to the filtering reference sample and a second weight with respect to the intra prediction value of the current sample; generating a filtered prediction sample value of the current sample based on the determined sample value of the filtering reference sample to be filtered, the intra prediction value of the current sample, the first weight with respect to the filtering reference sample, and the second weight with respect to the intra prediction value of the current sample; and generating a prediction block of the current block including the filtered prediction sample value.