DocumentCode
1610471
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.
fYear
2006
Firstpage
1673
Lastpage
1676
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IEMBS.2005.1616764
Filename
1616764
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