Wavelet-based restoration methods: application to 3D confocal microscopy images - Archive ouverte HAL Access content directly
Conference Papers Year : 2007

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

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.
Fichier principal
Vignette du fichier
spie07_hal.pdf (439.94 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-00733457 , version 1 (19-09-2012)

Identifiers

Cite

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⟩
419 View
784 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More