Video Rescaling and Adaptive Filtering for High-Resolution Quality
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Solution Overview
Problem
Existing video encoding and decoding technologies do not effectively address the need for improved coding efficiency when using dynamic rescaling of original and reconstructed pictures, particularly in standards like VVC, where adaptive loop filtering is optimized for lower resolution but not for higher resolution pictures.
Innovation Solution
The method involves dynamically rescaling original pictures for encoding and decoding, applying adaptive filters to up-sampled decoded pictures, and optimizing filter coefficients for high-resolution output, enhancing coding efficiency by improving the quality of high-resolution reconstructed pictures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If adaptive loop filtering is applied to low-resolution pictures, then filtering efficiency is improved, but visual quality of high-resolution pictures deteriorates
Solution Approach 1:
The patent applies adaptive loop filtering in two different dimensions: first in the down-sampled low-resolution domain to improve coding efficiency, then again in the original high-resolution domain after up-sampling to restore visual quality. This multi-dimensional filtering approach resolves the contradiction by operating at different resolution levels for different purposes.
Solution Approach 2:
The filtering process is segmented into two distinct stages: low-resolution adaptive loop filtering applied to down-sampled pictures for compression efficiency, and high-resolution adaptive loop filtering applied to up-sampled pictures for visual quality. This segmentation allows each filtering stage to optimize for its specific purpose without compromising the other.
2Loss of energy
If pictures are encoded at lower resolution, then compression efficiency is improved, but picture quality deteriorates
Solution Approach 1:
The patent operates in two resolution dimensions: encoding at reduced resolution for compression efficiency, then up-sampling to original resolution with additional filtering for quality restoration. This allows the system to benefit from both lower-bitrate encoding and high-quality output.
Solution Approach 2:
The patent applies adaptive loop filtering preliminarily at low resolution during compression, then applies additional filtering after up-sampling to pre-correct artifacts before final output. This preliminary filtering at multiple stages ensures both compression efficiency and final picture quality.
Data Source
AI summary
Methods and apparatuses for encoding/decoding a video are provided. A picture from a video is decoded from a bit-stream, the picture being encoded in the bitstream at a resolution that is lower than an original resolution of the picture. Decoding the picture further comprises up-sampling the decoded picture to the original resolution, and applying an adaptive filter to at least one component of the up-sampled decoded picture. According to some embodiments, the adaptive filter may be performed in-loop or out-of-loop of the decoding/encoding process.