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Proceedings Paper

Wavelet-based restoration methods: application to 3D confocal microscopy images
Author(s): Caroline Chaux; Laure Blanc-Féraud; Josiane Zerubia
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Paper Abstract

We propose in this paper an iterative algorithm for 3D confocal microcopy image restoration. The image quality is limited by the diffraction-limited nature of the optical system which causes blur and the reduced amount of light detected by the photomultiplier leading to a noise having Poisson statistics. Wavelets have proved to be very effective in image processing and have gained much popularity. Indeed, they allow to denoise efficiently images by applying a thresholding on coefficients. Moreover, they are used in algorithms as a regularization term and seem to be well adapted to preserve textures and small objects. In this work, we propose a 3D iterative wavelet-based algorithm and make some comparisons with state-of-the-art methods for restoration.

Paper Details

Date Published: 20 September 2007
PDF: 11 pages
Proc. SPIE 6701, Wavelets XII, 67010E (20 September 2007); doi: 10.1117/12.731438
Show Author Affiliations
Caroline Chaux, INRIA, CNRS, UNSA (France)
Laure Blanc-Féraud, INRIA, CNRS, UNSA (France)
Josiane Zerubia, INRIA, CNRS, UNSA (France)


Published in SPIE Proceedings Vol. 6701:
Wavelets XII
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)

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