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Proceedings Paper

Data compression in microscopy: a comparative study
Author(s): Andres Kriete; Norbert Klein; Lars C. Berger
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Paper Abstract

Image compression in microscopy is a valuable technique, in particular if applied to multidimensional data. Information- preserving and competitive information-losing compression is applied to microscopical data and the resulting image quality is evaluated on a quantitative basis both in the spatial and frequency domain. Included are image data featuring different signal-to-noise ratios, but also voxel data for volume representations as well as graphical data for surface representations. The effect of compression on 3-D visualization and image management with data bases is included.

Paper Details

Date Published: 6 May 1999
PDF: 11 pages
Proc. SPIE 3605, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing VI, (6 May 1999); doi: 10.1117/12.347562
Show Author Affiliations
Andres Kriete, Univ. Giessen (United States)
Norbert Klein, Univ. Giessen (Germany)
Lars C. Berger, Univ. Giessen (Germany)


Published in SPIE Proceedings Vol. 3605:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing VI
Dario Cabib; Carol J. Cogswell; Jose-Angel Conchello; Jeremy M. Lerner; Tony Wilson, Editor(s)

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