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Image Restoration with Denoising Using Multi-Resolution

Next: Introduction

Image Restoration with Denoising Using Multi-Resolution

Jean-Luc Starck

Cisi-Ingenierie, 1360 route des Dolines 06560 Valbonne, and Observatoire de la Côte d'Azur, B.P. 229 F-06304 Nice Cedex 4, France

Fionn Murtagh

Space Telescope - European Coordinating Facility, European Southern Observatory, Karl-Schwarzschild-Strasse 2, D-85748 Garching bei München, Germany

[1]Affiliated to Astrophysics Division, Space Science Department, European Space Agency

Albert Bijaoui

Observatoire de la Côte d'Azur, B.P. 229 F-06304 Nice Cedex 4, France

Keywords: Multiresolution analysis, wavelet, image processing, image restoration, deconvolution

Abstract:

This paper shows how an effective noise suppression strategy can be incorporated into algorithms for the solution of the inverse problem. The residual in the fit of the restored image, at each iteration, is analyzed using a wavelet transform. In order to suppress noise, only significant wavelet coefficients are retained. The effectiveness of this procedure is demonstrated.

rlw@sundog.stsci.edu
Mon Apr 18 10:19:49 EDT 1994