4 August 2016 Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study
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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
© 2016 SPIE and IS&T
Buda Bajić, Buda Bajić, Joakim Lindblad, Joakim Lindblad, Nataša Sladoje, Nataša Sladoje, } "Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study," Journal of Electronic Imaging 25(4), 043020 (4 August 2016). https://doi.org/10.1117/1.JEI.25.4.043020 . Submission:
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