Picture Enhancement Feedback Correction for Over-Filtering
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Solution Overview
Problem
Existing video coding technologies suffer from over-filtering issues in filtering processes like DBF, SAO, and ALF, leading to pixel values that are significantly different from the original values, resulting in suboptimal picture quality and coding performance.
Innovation Solution
A picture enhancement method that determines a first pixel value after initial filtering and enhances it based on the difference with the pre-filtering value, using techniques such as weighted averaging or adding compensation values to bring the pixel value closer to the original value, thereby reducing over-filtering effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If classification-based filtering (DBF, SAO, ALF) is performed on pixel values, then filtering effectiveness is improved, but over-filtering occurs causing pixel values to deviate significantly from original values
Solution Approach 1:
The patent introduces a feedback mechanism by comparing the filtered pixel value with the original pixel value and calculating a difference value. This feedback loop enables the system to detect over-filtering and apply compensation to correct the deviation, thereby maintaining pixel value accuracy while preserving filtering effectiveness.
Solution Approach 2:
The patent dynamically adjusts filtering parameters based on the difference between filtered and original pixel values. When over-filtering is detected (large difference), the system modifies filtering strength or applies compensation values, allowing the filtering process to adapt and maintain optimal performance without significant pixel value deviation.
2Reliability
If strong filtering operations are applied to remove blocking artifacts, then picture quality is improved, but pixel values become significantly different from original values
Solution Approach 1:
The patent converts the harmful effect of over-filtering (excessive deviation from original values) into a beneficial correction process. By calculating the difference between filtered and original values and applying compensation, the system recovers lost information and maintains both picture quality improvement and fidelity to original content.
Solution Approach 2:
The patent performs preliminary compensation calculation before final pixel value determination. By pre-calculating the difference between filtered and original values and preparing compensation values, the system ensures that original pixel value information is preserved while still achieving the desired picture quality improvement through filtering.
Data Source
AI summary
Provided are a picture enhancement method and apparatus. The picture enhancement method includes: for any one pixel, which meets a first filtering condition, in a current block, determining a first pixel value of the pixel after first filtering; and performing enhancement on a pixel value of the pixel based on the first pixel value and a second pixel value of the pixel point before the first filtering, so as to obtain a third pixel value, which has been subjected to enhancement, of the pixel.