Cross-Component Filtering for Video Reconstruction Error Reduction
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Solution Overview
Problem
Existing video coding technologies suffer from reconstruction errors due to the inherent differences in sampling rates between luma and chroma components, leading to visible artifacts and inefficiencies in compression and decoding processes.
Innovation Solution
The implementation of cross-component filtering techniques that utilize cross-component filter coefficients to modify reconstructed luma sample values based on chroma sample locations, reducing reconstruction errors and improving video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If cross-component filtering is applied to reduce reconstruction errors, then video quality is improved, but device complexity increases
Solution Approach 1:
The patent introduces cross-component filter coefficients as an intermediary mechanism that mediates between luma and chroma components. These coefficients are derived from chroma samples and used to adjust luma reconstructed samples, thereby reducing reconstruction errors without requiring direct complex interactions between all video components.
Solution Approach 2:
The patent changes the parameter space by introducing cross-component filter coefficients as new variables. Instead of directly modifying the reconstruction process with complex operations, the system uses these coefficients to parameterize the filtering operation, simplifying the overall complexity while improving reconstruction accuracy.
2Manufacturing precision
If cross-component filter coefficients are derived and applied, then reconstruction error is reduced, but processing time increases
Solution Approach 1:
The cross-component filter coefficients are derived in advance during the encoding process using chroma samples. This preliminary derivation allows the coefficients to be prepared beforehand, reducing the computational burden during the actual decoding and reconstruction process, thereby minimizing time loss.
Solution Approach 2:
The patent uses chroma samples as a basis for deriving cross-component filter coefficients, effectively copying and adapting information from one component to another. This copying approach allows efficient reuse of chroma data to improve luma reconstruction without requiring entirely new complex calculations during decoding.
Data Source
AI summary
A video coding device may be configured to perform video coding according to one or more of the techniques described herein.