Wavelet-based restoration methods: application to 3D confocal microscopy images

Caroline Chaux 1 Laure Blanc-Féraud 2 Josiane Zerubia 2
2 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes
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.
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Communication dans un congrès
Dimitri Van De Ville and Vivek K. Goyal and Manos Papadakis. SPIE 2007 Wavelets XII, Aug 2007, San Diego, CA, United States. SPIE, 6701, pp.67010E, 2007, <10.1117/12.731438>
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https://hal-upec-upem.archives-ouvertes.fr/hal-00733457
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Dernière modification le : mercredi 27 juillet 2016 - 01:03:40
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Caroline Chaux, Laure Blanc-Féraud, Josiane Zerubia. Wavelet-based restoration methods: application to 3D confocal microscopy images. Dimitri Van De Ville and Vivek K. Goyal and Manos Papadakis. SPIE 2007 Wavelets XII, Aug 2007, San Diego, CA, United States. SPIE, 6701, pp.67010E, 2007, <10.1117/12.731438>. <hal-00733457>

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