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-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.
Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.|Beijing Laboratory of Advanced Information Networks, Beijing, China.|College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China.
Yueying
Y
Wu
Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.|Beijing Laboratory of Advanced Information Networks, Beijing, China.|College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China.
Pengyu
P
Liu
Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.|Beijing Laboratory of Advanced Information Networks, Beijing, China.|College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China.
Yuan
Y
Gao
Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.|Beijing Laboratory of Advanced Information Networks, Beijing, China.|College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China.
Kebin
K
Jia
D000465:Algorithms; D059019:Clinical Coding / Q000379:methods*; D003146:Communications Media; D044962:Data Compression / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D012815:Signal Processing, Computer-Assisted; D014463:Ultrasonography / Q000379:methods*; D014741:Video Recording / Q000379:methods*