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Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
Published on: May 17, 2018
An evaluation of lossless compression algorithms for medical infrared images
Gerald Schaefer1, Roman Starosolski, Shao Ying Zhu
1School of Computing and Informatics, Nottingham Trent University, Nottingham, United Kingdom, Gerald.Schaefer@ntu.ac.uk.
Abstract:
Several popular lossless image compression algorithms were evaluated for the application of compressing medical infrared images. Lossless JPEG, JPEG-LS,JPEG2000, PNG, and CALIC were tested on an image dataset of 380+ thermal images. The results show that JPEG-LS is the algorithm with the best performance, both in terms of compression ratio and compression speed.
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