Intra Prediction Filtering for Image Encoding Efficiency
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Solution Overview
Problem
Existing image encoding and decoding technologies face inefficiencies in processing high-definition and ultra-high definition images, particularly in intra prediction and filtering methods.
Innovation Solution
An image decoding method that performs intra prediction on a current block, followed by filtering on specific prediction pixels based on the intra prediction mode, to generate a final prediction block. The filtering process uses predetermined filter types, such as 3-tap and 2-tap filters, applied to specific regions and pixels within the prediction block.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If intra prediction is performed on high-definition and ultra-high definition images, then image compression performance is improved, but processing complexity and time consumption increase
Solution Approach 1:
The patent divides the prediction block into multiple regions (e.g., first region and second region) and applies different filtering operations to each region. This segmentation allows the system to process only specific areas requiring enhancement, reducing overall processing complexity while maintaining compression performance on high-definition images.
Solution Approach 2:
Different filtering strengths and types are applied to different regions of the prediction block based on local characteristics. For example, edges or regions with high frequency content receive different treatment compared to smooth regions. This local quality approach optimizes processing by focusing computational resources where most needed.
2Measurement precision
If filtering is applied to all prediction pixels, then prediction accuracy is improved, but processing time and computational load increase
Solution Approach 1:
Instead of applying filtering to all prediction pixels uniformly, the patent applies filtering selectively to specific regions or pixels that benefit most from it. This partial action approach maintains prediction accuracy for critical areas while reducing processing time by skipping less critical pixels.
Solution Approach 2:
The prediction block is segmented into multiple regions, and filtering is applied differently to each segment. This allows the system to achieve high prediction accuracy in important regions while minimizing processing time by using simpler or no filtering in less critical regions.
Data Source
AI summary
According to the present invention, an image encoding/decoding method comprises the steps of: performing an intra prediction on a current block so as to generate a prediction block; performing filtering on a filtering target pixel in the prediction block on the basis of the intra prediction mode of the current block so as to generate a final prediction block; and generating a reconstructed block on the basis of a reconstructed differential block corresponding to the current block and on the final prediction block. According to the present invention, image encoding/decoding efficiency can be improved.