Title :
An evaluation of lossless compression algorithms for medical infrared images
Author :
Schaefer, Gerald ; Starosolski, Roman ; Zhu, Shao Ying
Author_Institution :
Sch. of Comput. & Informatics, Nottingham Trent Univ.
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
Keywords :
biomedical optical imaging; image coding; infrared imaging; medical image processing; CALIC; JPEG; JPEG-LS; JPEG2000; PNG; compression ratio; compression speed; lossless image compression algorithms; medical infrared images; thermal images; Biomedical imaging; Cameras; Compression algorithms; Humans; Image coding; Infrared imaging; Leg; Medical diagnostic imaging; Skin; Transform coding;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616764
