title: An evaluation of lossless compression algorithms for medical infrared images.
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.
authors.affiliation: School of Computing and Informatics, Nottingham Trent University, Nottingham, United Kingdom, Gerald.Schaefer@ntu.ac.uk.
authors.forename: Gerald
authors.initials: G
authors.lastname: Schaefer
authors.forename: Roman
authors.initials: R
authors.lastname: Starosolski
authors.forename: Shao
authors.initials: S
authors.lastname: Ying Zhu