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Proceedings Paper

Lossy plus lossless residual encoding with dynamic preprocessing for Hubble Space Telescope fits images
Author(s): Gianfranco Basti; M. Riccardi; Antonio Luigi Perrone
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Paper Abstract

In this paper we present an innovative lossy plus lossless residual encoding scheme consisting of the following steps: (A) Dynamic pre-processing applied either to the original image in order to separate homogeneous parts of it; or to the histogram of the pixel values in order to generate three images each with the same size of the original one that superposed reconstruct exactly the source image. (B) Use of an efficient lossy compression scheme to pre-processed data in order to generate low bit rate images. (C) Definition of residuals by computing the differences between the lossy reconstructions and the pre-processed images. (D) Encode the residuals using an appropriate lossless technique. We applied this double scheme, with the two different pre-processing techniques, to some HST FITS images, obtaining from 1:4 to 1:6.4 lossless compression ratios.

Paper Details

Date Published: 22 March 1999
PDF: 10 pages
Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); doi: 10.1117/12.342896
Show Author Affiliations
Gianfranco Basti, IRAFS and Pontifical Lateran Univ. (Italy)
M. Riccardi, IRAFS and Pontifical Lateran Univ. (Italy)
Antonio Luigi Perrone, IRAFS Pand ontifical Lateran Univ. (Italy)


Published in SPIE Proceedings Vol. 3722:
Applications and Science of Computational Intelligence II
Kevin L. Priddy; Paul E. Keller; David B. Fogel; James C. Bezdek, Editor(s)

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