Lossy plus lossless residual encoding with dynamic preprocessing for Hubble Space Telescope fits images

Gianfranco Basti; M. Riccardi; Antonio Luigi Perrone

doi:10.1117/12.342896

22 March 1999 Lossy plus lossless residual encoding with dynamic preprocessing for Hubble Space Telescope fits images

Gianfranco Basti, M. Riccardi, Antonio Luigi Perrone

Proceedings Volume 3722, Applications and Science of Computational Intelligence II; (1999) https://doi.org/10.1117/12.342896
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Gianfranco Basti, M. Riccardi, and Antonio Luigi Perrone "Lossy plus lossless residual encoding with dynamic preprocessing for Hubble Space Telescope fits images", Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); https://doi.org/10.1117/12.342896

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