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Journal of Electronic Imaging

Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study
Author(s): Buda Bajić; Joakim Lindblad; Nataša Sladoje
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Paper Abstract

Most energy minimization-based restoration methods are developed for signal-independent Gaussian noise. The assumption of Gaussian noise distribution leads to a quadratic data fidelity term, which is appealing in optimization. When an image is acquired with a photon counting device, it contains signal-dependent Poisson or mixed Poisson–Gaussian noise. We quantify the loss in performance that occurs when a restoration method suited for Gaussian noise is utilized for mixed noise. Signal-dependent noise can be treated by methods based on either classical maximum

Paper Details

Date Published: 4 August 2016
PDF: 10 pages
J. Electron. Imag. 25(4) 043020 doi: 10.1117/1.JEI.25.4.043020
Published in: Journal of Electronic Imaging Volume 25, Issue 4
Show Author Affiliations
Buda Bajić, Univ. of Novi Sad (Serbia)
Joakim Lindblad, Uppsala Univ. (Sweden)
Mathematical Institute SANU (Serbia)
Nataša Sladoje, Uppsala Univ. (Sweden)
Mathematical Institute SANU (Serbia)


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