Research Papers
Compression of grayscale scientific and medical image data
Authors:
F Murtagh ,
School of Computer Science, Queen's University Belfast, Belfast, BT7 1NN
M Louys,
Astronomical Observatory, Rue de l'Université, 67000 Strasbourg, France
Labortorie des Sciences de l'Informatique, de l'Image et de la Télédétection, ENSPS Université Louis Pasteur, F-67000 Strasbourg, France
J L Starck,
DAPNIA/SEI-SAP, CEA-Saclay, F-91191 Gif-sur-Yvette Cedex, France
F Bonnarel
Astronomical Observatory, Rue de l'Université, 67000 Strasbourg, France
Abstract
A review of issues in image compression is presented, with a strong focus on the wavelet transform and other closely related multiresolution transforms. The roles of information content, resolution scale, and image capture noise, are discussed. Experimental and practical results are reviewed.
How to Cite:
Murtagh, F., Louys, M., Starck, J.L. and Bonnarel, F., 2006. Compression of grayscale scientific and medical image data. Data Science Journal, 1(1), pp.111–127. DOI: http://doi.org/10.2481/dsj.1.111
Published on
05 Jan 2006.
Peer Reviewed
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