Quincunx-Sampled Video Deblocking via Component Segmentation
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Solution Overview
Problem
Existing methods for processing sampled and multiplexed image and video data face challenges in efficiently deblocking and interpolating quincunx-sampled content, leading to cross-view contamination and suboptimal compression efficiency due to the complexity of handling different sampling patterns and interleaving arrangements.
Innovation Solution
The proposed method involves de-multiplexing composite sampled data into component pictures, processing each component separately with deblocking, denoising, and filtering, while considering the spatial position of samples in the full resolution grid to avoid contamination and improve interpolation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quincunx-sampled content is processed using existing deblocking and interpolation methods, then processing can be performed on sampled data, but cross-view contamination occurs and compression efficiency is suboptimal
Solution Approach 1:
The patent segments the processing by separating even and odd sample lines into distinct component pictures, then processes each component independently through deblocking and interpolation operations. This segmentation prevents cross-contamination between different view components while maintaining processing effectiveness on quincunx-sampled content.
2Manufacturing precision
If different sampling patterns and interleaving arrangements are handled using complex processing methods, then accurate processing can be achieved, but computational complexity increases
Solution Approach 1:
The patent applies local quality by treating even and odd sample lines with different processing approaches appropriate to their specific characteristics. Each component picture undergoes processing tailored to its sampling pattern, enabling accurate interpolation while simplifying the overall computational burden compared to uniform complex processing.
Data Source
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AI summary
Enhancement methods for sampled and multiplexed image and video data are described. Each component picture is separately processed either after de-multiplexing or on the fly. Processing and de-multiplexing can be combined in a single joint step. The methods apply to both encoding and decoding system and include applications to scalable video coding systems.