Post-Filter Rescaling for Sub-Pel Video Sample Correction
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Solution Overview
Problem
Existing video coding systems face challenges in accurately correcting reconstructed samples due to sub-pixel precision issues, leading to inefficiencies in compression and transmission of digital video signals.
Innovation Solution
A device determines a scaling parameter and offset based on sub-pel correction precision and classification, applying a scaled correction to reconstructed samples to enhance precision, using a computer program product for implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sub-pel correction precision is used for reconstructed samples, then correction accuracy is improved, but computational complexity and processing overhead increase
Solution Approach 1:
The patent applies different correction precisions to different regions or types of samples based on classification. By categorizing samples and applying appropriate correction levels to each class, the system achieves high precision where needed while reducing processing complexity for other samples, thus resolving the contradiction between correction accuracy and computational burden.
Solution Approach 2:
The patent dynamically adjusts correction parameters based on sample characteristics and classification results. By changing correction parameters adaptively rather than applying uniform high-precision correction to all samples, the system maintains high correction accuracy for critical samples while reducing overall processing complexity.
2Measurement precision
If scaling parameter precision is increased, then correction accuracy is improved, but data transmission and storage requirements increase
Solution Approach 1:
The patent uses classification to identify which samples require high-precision scaling parameters and which can use lower precision. By applying high precision only where necessary, the system improves correction accuracy for critical samples while minimizing the overall data volume required for storing and transmitting scaling parameters.
Solution Approach 2:
The patent applies high-precision scaling parameters to only a subset of samples that benefit most from increased precision, rather than applying high precision universally. This partial application of high precision achieves sufficient correction accuracy while significantly reducing data transmission and storage requirements.
Data Source
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AI summary
Systems, methods, and instrumentalities are disclosed herein for a device that may be configured to determine a correction of a reconstructed sample at sub-pel precision. The correction may be associated with a sub-pel correction precision. The device may determine a scaling parameter associated with the reconstructed sample. The scaling parameter may be associated with a scaling parameter precision. The device may determine a scaled correction based on the correction, the scaling parameter, and/or the scaling parameter precision. The device may apply the scaled correction to the reconstructed sample.