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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Full-length endoscopic operations are increasingly being stored. Endoscopic videos are used for further diagnosis and research, and they must be combined with patient-level data in the electronic health record (EHR). The health-based cloud centre is a large-scale private cloud that requires a lot of storage capacity. Using a HEVC-based method, this research provides a revolutionary video compression technique based on DPCM. Effective compression Technique is explored in our proposed study. Our goal is to demonstrate a method for lossless compression of endoscopic video while maintaining quality as a part of our research work. Our implementation measures performance in terms of PSNR, SSI, and other metrics.
Discussion: The proposed method is implemented in MATLAB, the testing results revealed its use in terms of compression ratio, PSNR, SSI, and bit rate.
Keyword
HEVC, PSNR, SSI, Bitrate, Compression Ratio, Intra Frame prediction and Inter Frame Prediction.
PDF Download (click here)
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