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20 September 2007 Wavelet-based restoration methods: application to 3D confocal microscopy images
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Caroline Chaux, Laure Blanc-Féraud, and Josiane Zerubia "Wavelet-based restoration methods: application to 3D confocal microscopy images", Proc. SPIE 6701, Wavelets XII, 67010E (20 September 2007);

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