A Loop Filtering Method Based on Adaptive Self-guided Filtering

A loop filtering and self-directed technology, applied in the field of video coding and decoding, can solve the problem that the distortion effect of the reconstructed image is not completely removed, and achieve the effect of improving the subjective and objective quality, reducing the distortion effect, and improving the reconstruction quality.

A loop filtering and self-directed technology, applied in the field of video coding and decoding, can solve the problem that the distortion effect of the reconstructed image is not completely removed, and achieve the effect of improving the subjective and objective quality, reducing the distortion effect, and improving the reconstruction quality.

CN111314711BActive Publication Date: 2021-05-14UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • A Loop Filtering Method Based on Adaptive Self-guided Filtering
  • A Loop Filtering Method Based on Adaptive Self-guided Filtering
  • A Loop Filtering Method Based on Adaptive Self-guided Filtering

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The effectiveness of the scheme of the present invention is illustrated below using a simulation example:

[0056] Taking VTM3.0 as the experimental platform, add the dual self-guided filtering algorithm based on VVC optimization proposed in this chapter between SAO and ALF in the loop filtering module, and verify it under AI, LD and RA configurations, and the test condition is VTM Common Test Conditions (CTC), including 22 sequences from Class A to Class F, the test results show the coding performance of each test sequence, the average performance of each Class, and the average performance of all test sequences. The quantization parameter QP is 22, 27, 32, 37.

[0057] The experimental results are compared with the original reference software VTM3.0, and BD-Rate is used as the comparison standard, indicating the change of bit rate under the same reconstruction quality. When the BD-Rate is a negative value, it means that the bit rate decreases under the same reconstruc...

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Abstract

The invention belongs to the technical field of video encoding and decoding, and in particular relates to a loop filtering method based on self-adaptive self-guided filtering. The method of the present invention mainly considers the self-adaptive self-guided filtering technology of the local structure information of the image, adjusts the regularization coefficient by calculating the weight coefficient of the regularization coefficient, and realizes the self-adaptive self-guided filtering, and then performs the self-guided filtering on each region The region-level subspace mapping is iteratively optimized to optimize the mapping result of each region, making the mapping result of the whole image closer to the original image. The invention has the beneficial effects of improving the filtering effect of the loop filter, reducing the distortion effect of the reconstructed image, improving the reconstruction quality of the video frame, making the reconstructed image more conducive to subsequent reference, and further improving the subjective and objective quality of the video.

Description

technical field [0001] The invention belongs to the technical field of video encoding and decoding, and in particular relates to a loop filtering method based on self-adaptive self-guided filtering. Background technique [0002] The block-based hybrid coding framework in mainstream video coding standards will cause distortion effects such as block effect, ringing effect, and image blur in the reconstructed image. Loop filtering technology filters the coded reconstructed image, which can reduce these distortion effects to a certain extent. The impact on the video reconstruction quality improves the subjective and objective quality of the video. After filtering, the reconstructed image not only improves the quality of the current reconstructed image, but also provides a reference for the subsequent encoded image. Compared with the image before filtering, the reconstructed image after filtering is more conducive to reference, which can further reduce the prediction residual of ...

Claims

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Application Information

Patent Timeline
14 May 2021
Publication
CN111314711B
IPC
H04N19/80; H04N19/186; G06T5/00
CPC
H04N19/80; H04N19/186; G06T5/70; H04N19/117; H04N19/176; H04N19/172; H04N19/70; H04N19/182
Inventors
朱策; 邓玲玲