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Proceedings Paper

Pyramidal vision model applied to astronomical images
Author(s): Frederic Rue; Albert Bijaoui
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Paper Abstract

A multiscale vision model based on a pyramidal wavelet transform is described in the present paper. The pyramidal wavelet algorithm is modified in order to satisfy a correct sampling at each scale. Objects are defined by trees of statistically significant coefficients in the wavelet transform space. The object images are then restored using the conjugate gradient method. By comparing with the model based on the a trous algorithm, tests on simulated and real images show that this model presents a good compromise between analysis quality and the memory space and computation time needed.

Paper Details

Date Published: 23 October 1996
PDF: 11 pages
Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); doi: 10.1117/12.255248
Show Author Affiliations
Frederic Rue, 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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