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A Survey on Medical Image compression Algorithms and its Performance

Author(s):
Sam Jaikumar S , Sri Ramakrishna Institute of Technology; Dr. S. Mary Praveena, Sri Ramakrishna Institute of technology; S. Prabakaran, CMS College of engineering and technology; B. Saranya, Sri Ramakrishna Institute of technology

Keywords:
Image Compression, Compression Ratio; Mean square error (MSE), PSNR (Peak Signal to Noise Ratio), SNR Signal to Noise Ratio

Abstract

Rapid advancements in medical imaging requires an efficient methodologies for storing and transmission. A huge amount of medical images is generated through advanced medical imaging in hospitals and a large database is required to keep and maintain the diagnostic information in the form of images and it requires more space and transmission bandwidth. Medical image compression techniques help to store the medical images with relevant diagnostic information. This paper discuss about the performance analysis of different image compression algorithms and their performance variations can be determined using parameters such as MSE, PSNR and SNR.

Other Details
Paper ID: IJSRDV5I100102
Published in: Volume : 5, Issue : 10
Publication Date: 01/01/2018
Page(s): 111-115

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