Schaefer, G., Starosolski, R. and Zhu, Shao Ying (2006) An evaluation of lossless compression algorithms for medical infrared images. In: 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE

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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.

Item Type:	Book Section
Status:	Published
School/Department:	School of Science, Technology and Health
URI:	https://ray.yorksj.ac.uk/id/eprint/9937

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