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作者:

Wu, Yueying (Wu, Yueying.) | Liu, Pengyu (Liu, Pengyu.) | Gao, Yuan (Gao, Yuan.) | Jia, Kebin (Jia, Kebin.) (学者:贾克斌)

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摘要:

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.

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作者机构:

  • [ 1 ] [Wu, Yueying]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China
  • [ 2 ] [Liu, Pengyu]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China
  • [ 3 ] [Gao, Yuan]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China
  • [ 4 ] [Jia, Kebin]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China
  • [ 5 ] [Wu, Yueying]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
  • [ 6 ] [Liu, Pengyu]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
  • [ 7 ] [Gao, Yuan]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
  • [ 8 ] [Jia, Kebin]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
  • [ 9 ] [Wu, Yueying]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 10 ] [Liu, Pengyu]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 11 ] [Gao, Yuan]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 12 ] [Jia, Kebin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 13 ] [Wu, Yueying]Beijing Univ Technol, Coll Elect Informat & Control Engn, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 14 ] [Liu, Pengyu]Beijing Univ Technol, Coll Elect Informat & Control Engn, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 15 ] [Gao, Yuan]Beijing Univ Technol, Coll Elect Informat & Control Engn, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 16 ] [Jia, Kebin]Beijing Univ Technol, Coll Elect Informat & Control Engn, 100 Pingleyuan, Beijing 100124, Peoples R China

通讯作者信息:

  • 贾克斌

    [Liu, Pengyu]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China;;[Jia, Kebin]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China;;[Liu, Pengyu]Beijing Lab Adv Informat Networks, Beijing, Peoples R China;;[Jia, Kebin]Beijing Lab Adv Informat Networks, Beijing, Peoples R China;;[Liu, Pengyu]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China;;[Jia, Kebin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China;;[Liu, Pengyu]Beijing Univ Technol, Coll Elect Informat & Control Engn, 100 Pingleyuan, Beijing 100124, Peoples R China;;[Jia, Kebin]Beijing Univ Technol, Coll Elect Informat & Control Engn, 100 Pingleyuan, Beijing 100124, Peoples R China

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来源 :

PLOS ONE

ISSN: 1932-6203

年份: 2016

期: 11

卷: 11

3 . 7 0 0

JCR@2022

ESI学科: Multidisciplinary;

ESI高被引阀值:301

中科院分区:3

被引次数:

WoS核心集被引频次: 9

SCOPUS被引频次: 10

ESI高被引论文在榜: 0 展开所有

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