@inproceedings{97f1c9e63e844dedaf7690ee7a2e82c3,
title = "Sparsity based Poisson denoising",
abstract = "Sparsity based techniques have been widely used for image denoising. In this work we focus on Poisson noise and propose initial stages for a new strategy for its removal. We start with a method that removes the noise by converting it into an additive Gaussian noise using the Anscombe transform, applying a variant of the OMP-denoising algorithm. Then, following the recent work by Salmon et. al., we bypass the need for the Anscombe transform and rely directly on the noise statistics. The new strategy is shown to lead to near state-of-the-art results.",
author = "Raja Giryes and Michael Elad",
year = "2012",
doi = "10.1109/EEEI.2012.6377139",
language = "אנגלית",
isbn = "9781467346801",
series = "2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012",
booktitle = "2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012",
note = "null ; Conference date: 14-11-2012 Through 17-11-2012",
}