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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 , Laboratoire I3S - 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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Submitted on : Wednesday, September 19, 2012 - 10:56:05 AM
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Caroline Chaux, Laure Blanc-Féraud, Josiane Zerubia. Wavelet-based restoration methods: application to 3D confocal microscopy images. SPIE 2007 Wavelets XII, Aug 2007, San Diego, CA, United States. pp.67010E, ⟨10.1117/12.731438⟩. ⟨hal-00733457⟩



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