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

Caroline Chaux; Laure Blanc-Féraud; Josiane Zerubia

doi:10.1117/12.731438

20 September 2007 Wavelet-based restoration methods: application to 3D confocal microscopy images

Caroline Chaux, Laure Blanc-Féraud, Josiane Zerubia

Proceedings Volume 6701, Wavelets XII; 67010E (2007) https://doi.org/10.1117/12.731438
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.731438

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