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Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction
The new generation video coding standard Versatile Video Coding (VVC) has adopted many novel technologies to improve compression performance, and consequently, remarkable results have been achieved. In practical applications, less data, in terms of bitrate, would reduce the burden of the sensors and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412575/ https://www.ncbi.nlm.nih.gov/pubmed/36015738 http://dx.doi.org/10.3390/s22165977 |
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author | Luo, Dan Xiong, Shuhua Ren, Chao Sheriff, Raymond Edward He, Xiaohai |
author_facet | Luo, Dan Xiong, Shuhua Ren, Chao Sheriff, Raymond Edward He, Xiaohai |
author_sort | Luo, Dan |
collection | PubMed |
description | The new generation video coding standard Versatile Video Coding (VVC) has adopted many novel technologies to improve compression performance, and consequently, remarkable results have been achieved. In practical applications, less data, in terms of bitrate, would reduce the burden of the sensors and improve their performance. Hence, to further enhance the intra compression performance of VVC, we propose a fusion-based intra prediction algorithm in this paper. Specifically, to better predict areas with similar texture information, we propose a fusion-based adaptive template matching method, which directly takes the error between reference and objective templates into account. Furthermore, to better utilize the correlation between reference pixels and the pixels to be predicted, we propose a fusion-based linear prediction method, which can compensate for the deficiency of single linear prediction. We implemented our algorithm on top of the VVC Test Model (VTM) 9.1. When compared with the VVC, our proposed fusion-based algorithm saves a bitrate of 0.89%, 0.84%, and 0.90% on average for the Y, Cb, and Cr components, respectively. In addition, when compared with some other existing works, our algorithm showed superior performance in bitrate savings. |
format | Online Article Text |
id | pubmed-9412575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94125752022-08-27 Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction Luo, Dan Xiong, Shuhua Ren, Chao Sheriff, Raymond Edward He, Xiaohai Sensors (Basel) Article The new generation video coding standard Versatile Video Coding (VVC) has adopted many novel technologies to improve compression performance, and consequently, remarkable results have been achieved. In practical applications, less data, in terms of bitrate, would reduce the burden of the sensors and improve their performance. Hence, to further enhance the intra compression performance of VVC, we propose a fusion-based intra prediction algorithm in this paper. Specifically, to better predict areas with similar texture information, we propose a fusion-based adaptive template matching method, which directly takes the error between reference and objective templates into account. Furthermore, to better utilize the correlation between reference pixels and the pixels to be predicted, we propose a fusion-based linear prediction method, which can compensate for the deficiency of single linear prediction. We implemented our algorithm on top of the VVC Test Model (VTM) 9.1. When compared with the VVC, our proposed fusion-based algorithm saves a bitrate of 0.89%, 0.84%, and 0.90% on average for the Y, Cb, and Cr components, respectively. In addition, when compared with some other existing works, our algorithm showed superior performance in bitrate savings. MDPI 2022-08-10 /pmc/articles/PMC9412575/ /pubmed/36015738 http://dx.doi.org/10.3390/s22165977 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Luo, Dan Xiong, Shuhua Ren, Chao Sheriff, Raymond Edward He, Xiaohai Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
title | Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
title_full | Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
title_fullStr | Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
title_full_unstemmed | Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
title_short | Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction |
title_sort | fusion-based versatile video coding intra prediction algorithm with template matching and linear prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412575/ https://www.ncbi.nlm.nih.gov/pubmed/36015738 http://dx.doi.org/10.3390/s22165977 |
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