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Medical Ultrasound Video Coding with H.265/HEVC Based on ROI Extraction
High-efficiency video compression technology is of primary importance to the storage and transmission of digital medical video in modern medical communication systems. To further improve the compression performance of medical ultrasound video, two innovative technologies based on diagnostic region-o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096667/ https://www.ncbi.nlm.nih.gov/pubmed/27814367 http://dx.doi.org/10.1371/journal.pone.0165698 |
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author | Wu, Yueying Liu, Pengyu Gao, Yuan Jia, Kebin |
author_facet | Wu, Yueying Liu, Pengyu Gao, Yuan Jia, Kebin |
author_sort | Wu, Yueying |
collection | PubMed |
description | High-efficiency video compression technology is of primary importance to the storage and transmission of digital medical video in modern medical communication systems. To further improve the compression performance of medical ultrasound video, two innovative technologies based on diagnostic region-of-interest (ROI) extraction using the high efficiency video coding (H.265/HEVC) standard are presented in this paper. First, an effective ROI extraction algorithm based on image textural features is proposed to strengthen the applicability of ROI detection results in the H.265/HEVC quad-tree coding structure. Second, a hierarchical coding method based on transform coefficient adjustment and a quantization parameter (QP) selection process is designed to implement the otherness encoding for ROIs and non-ROIs. Experimental results demonstrate that the proposed optimization strategy significantly improves the coding performance by achieving a BD-BR reduction of 13.52% and a BD-PSNR gain of 1.16 dB on average compared to H.265/HEVC (HM15.0). The proposed medical video coding algorithm is expected to satisfy low bit-rate compression requirements for modern medical communication systems. |
format | Online Article Text |
id | pubmed-5096667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50966672016-11-18 Medical Ultrasound Video Coding with H.265/HEVC Based on ROI Extraction Wu, Yueying Liu, Pengyu Gao, Yuan Jia, Kebin PLoS One Research Article High-efficiency video compression technology is of primary importance to the storage and transmission of digital medical video in modern medical communication systems. To further improve the compression performance of medical ultrasound video, two innovative technologies based on diagnostic region-of-interest (ROI) extraction using the high efficiency video coding (H.265/HEVC) standard are presented in this paper. First, an effective ROI extraction algorithm based on image textural features is proposed to strengthen the applicability of ROI detection results in the H.265/HEVC quad-tree coding structure. Second, a hierarchical coding method based on transform coefficient adjustment and a quantization parameter (QP) selection process is designed to implement the otherness encoding for ROIs and non-ROIs. Experimental results demonstrate that the proposed optimization strategy significantly improves the coding performance by achieving a BD-BR reduction of 13.52% and a BD-PSNR gain of 1.16 dB on average compared to H.265/HEVC (HM15.0). The proposed medical video coding algorithm is expected to satisfy low bit-rate compression requirements for modern medical communication systems. Public Library of Science 2016-11-04 /pmc/articles/PMC5096667/ /pubmed/27814367 http://dx.doi.org/10.1371/journal.pone.0165698 Text en © 2016 Wu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wu, Yueying Liu, Pengyu Gao, Yuan Jia, Kebin Medical Ultrasound Video Coding with H.265/HEVC Based on ROI Extraction |
title | Medical Ultrasound Video Coding with H.265/HEVC Based on ROI Extraction |
title_full | Medical Ultrasound Video Coding with H.265/HEVC Based on ROI Extraction |
title_fullStr | Medical Ultrasound Video Coding with H.265/HEVC Based on ROI Extraction |
title_full_unstemmed | Medical Ultrasound Video Coding with H.265/HEVC Based on ROI Extraction |
title_short | Medical Ultrasound Video Coding with H.265/HEVC Based on ROI Extraction |
title_sort | medical ultrasound video coding with h.265/hevc based on roi extraction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096667/ https://www.ncbi.nlm.nih.gov/pubmed/27814367 http://dx.doi.org/10.1371/journal.pone.0165698 |
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