|
|
Digital Library of the
European Council for Modelling and Simulation |
|
Title: |
Lossless Compression Of Colour
Medical Retinal Images |
|
Authors: |
Roman Starosolski,
Gerald Schäfer |
|
Published in:
|
(2006).ECMS
2006 Proceedings edited by: W. Borutzky, A. Orsoni, R. Zobel. European
Council for Modeling and Simulation. doi:10.7148/2006 ISBN:
0-9553018-0-7 20th
European Conference on Modelling and Simulation, Bonn,
May 28-31, 2006 |
|
Citation
format: |
Starosolski, R., & Schaefer, G. (2006).
Lossless Compression Of Colour Medical Retinal
Images. ECMS 2006 Proceedings edited by: W. Borutzky,
A. Orsoni, R. Zobel
(pp. 437-442). European Council for Modeling and Simulation. doi:10.7148/2006-0437 |
|
DOI: |
http://dx.doi.org/10.7148/2006-0437 |
|
Abstract: |
We analyzed the
performance of several lossless image compression algorithms, namely Lossless
JPEG, JPEGLS, JPEG2000, PNG, and CALIC on a large set of medical retinal images organized into groups according to capturing conditions
and retinal region. Overall we found JPEG-LS to be the best performing
algorithm when we consider both compression speed and compression ratio. Although we
observed some variance among groups JPEG-LS consistently obtains both the
speed and the ratio close to the best of all tested algorithms. We also found
that the compression ratios may be further improved by applying (reversible)
color space transforms and histogram packing transforms to the retinal images
before compressing them. However, for certain images color transforms may
produce worse compression ratios. |
|
Full
text: |
|
