Video Coding Filter Using Lookup Table and Block Padding
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Solution Overview
Problem
Current video coding technologies face challenges in maintaining video quality while reducing bandwidth requirements, with existing filters requiring complex rate-distortion optimization and involving large numbers of weighting coefficients, which increases processing complexity.
Innovation Solution
A filter that extends the current reconstructed block by padding samples from neighboring blocks, allowing for efficient filtering in the frequency domain with reduced complexity, and uses a lookup table for filtering operations, eliminating the need for complex calculations and parameter signaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If adaptive loop filter with weighting coefficients is used to improve video quality, then filtering effectiveness is improved, but device complexity increases due to complex rate-distortion optimization and large number of coefficients
Solution Approach 1:
The patent extracts only the essential filtering operations needed for quality improvement, removing the complex rate-distortion optimization and large weighting coefficient sets from the ALF process. This leaves a simplified filter that maintains core functionality while reducing complexity.
Solution Approach 2:
The patent replaces complex, computationally expensive filtering operations with simpler, more efficient filtering mechanisms that achieve comparable quality improvement with significantly reduced computational burden.
2Reliability
If more weighting coefficients are transmitted to improve filtering accuracy, then video quality is improved, but bandwidth requirements increase
Solution Approach 1:
The patent removes the requirement to transmit large numbers of weighting coefficients, keeping only the minimal filtering parameters necessary to achieve quality improvement without increasing bandwidth consumption.
3Manufacturing precision
If universal multipliers are implemented for each 2x2 pixel block to improve filtering precision, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent merges the filtering operations across pixel blocks, allowing shared computation and resources rather than implementing separate universal multipliers for each 2x2 block, thereby reducing overall device complexity while maintaining precision.
Data Source
AI summary
A filter, to an encoder and a decoder using the filter, to a filtering method and a corresponding program, as well as to encoding and decoding using the filtering method or the filter. The method includes obtaining of an extended reconstructed block by extending the current reconstructed block to include at least padding samples from the current reconstructed block. After padding, a current pixel of the extended reconstructed block and its neighboring pixels are loaded into a linear buffer and transformed with a one-dimensional (1D) transform. The method is performed in frequency domain using a look-up table and the filtered pixels are transformed back.