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Reading: Compression of grayscale scientific and medical image data

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Research Papers

Compression of grayscale scientific and medical image data

Authors:

F Murtagh ,

School of Computer Science, Queen's University Belfast, Belfast, BT7 1NN
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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
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J L Starck,

DAPNIA/SEI-SAP, CEA-Saclay, F-91191 Gif-sur-Yvette Cedex, France
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F Bonnarel

Astronomical Observatory, Rue de l'Université, 67000 Strasbourg, France
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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.
DOI: http://doi.org/10.2481/dsj.1.111
How to Cite: Murtagh, F. et al., (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
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Published on 05 Jan 2006.
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