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Proceedings Paper

Regularization constraints in lossy compressed astronomical image restoration
Author(s): Yves Bobichon; Albert Bijaoui
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Paper Abstract

Astronomical images currently provide large amounts of data. Lossy compression algorithms have recently been developed for high compression ratios. These compression techniques introduce distortion in the compressed images and for high compression ratios, a blocking effect appears. A new algorithm based on the regularization theory is proposed for the restoration of such lossy compressed astronomical images. The image is restored scale by scale in a multiresolution scheme and the information lost during the compression is recovered by applying a regularization constraint. The experimental results show that the blocking effect is reduced and some measurements made on a simulated image show that the astrometic and photometric properties of the restored images are improved.

Paper Details

Date Published: 23 October 1996
PDF: 9 pages
Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); doi: 10.1117/12.255252
Show Author Affiliations
Yves Bobichon, Observatoire de la Cote d'Azur/CNRS (France)
Albert Bijaoui, Observatoire de la Cote d'Azur/CNRS (France)

Published in SPIE Proceedings Vol. 2825:
Wavelet Applications in Signal and Image Processing IV
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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