Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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.

Active Publication Date: 2021-05-14
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0020] Compared with HEVC, JVET has added ALF technology to the latest video coding standard VVC under development, which has greatly improved the coding efficiency, but the various distortion effects in the reconstructed image are still not completely removed, thus further reducing the reconstruction quality. Distortion in images is still an important requirement in the development of video coding technology
At the same time, the original dual self-guiding filter technology is not suitable for the VVC standard for high-definition and ultra-high-definition video

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/80H04N19/186G06T5/00
CPCH04N19/80H04N19/186G06T5/70H04N19/117H04N19/176H04N19/172H04N19/70H04N19/182H04N19/82
Inventor 朱策邓玲玲蒋妮王秋月丁可可
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com