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Proceedings Paper

Reversible compression of industrial radiographs using multiresolution decorrelation
Author(s): Keshi Chen; Tenkasi V. Ramabadran
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Paper Abstract

An improved method for the reversible compression of industrial radiographs is described. The method uses one of the multiresolution decorrelation techniques, viz., hierarchical interpolation (HINT), to decorrelate a given image. However, instead of encoding the decorrelated image pixels at each resolution level using a memoryless source as in the traditional HINT method, a statistical source model with multiple contexts is employed and the pixels are encoded using the appropriate contextual statistics. Experiments on industrial x-ray images show that the improved method achieves about 19% more compression on the average than the traditional method.

Paper Details

Date Published: 1 December 1991
PDF: 5 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50834
Show Author Affiliations
Keshi Chen, Iowa State Univ. (United States)
Tenkasi V. Ramabadran, Iowa State Univ. (United States)

Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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