TY - GEN
T1 - An evaluation of lossless compression algorithms for medical infrared images
AU - Schaefer, Gerald
AU - Starosolski, Roman
AU - Zhu, Shao Ying
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/33846896157
U2 - 10.1109/iembs.2005.1616764
DO - 10.1109/iembs.2005.1616764
M3 - Conference contribution
AN - SCOPUS:33846896157
SN - 0780387406
SN - 9780780387409
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SP - 1673
EP - 1676
BT - Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Y2 - 1 September 2005 through 4 September 2005
ER -