@inproceedings{d35018b5cd5f4cc5b7631ff7d16c59eb,
title = "Impulsive noise removal from images using sparse representation and optimization methods",
abstract = "In this paper, we propose a new method for impulsive noise removal from images. It uses the sparsity of natural images when they are expanded by mean of a good learned dictionary. The zeros in sparse domain give us an idea to reconstruct the pixels that are corrupted by random-value impulse noises. This idea comes from this reality that noisy image in sparse domain of original image will not have a sparse representation as much as original image sparsity. In this method we assume that the proper dictionary to achieve image in sparse domain is available.",
keywords = "Image De-noising, Impulsive noise, Iterative method, Sparsity",
author = "Sajjad Beygi-Harchegani and Mohammadmehdi Kafashan and Farokh Marvasti",
year = "2010",
doi = "10.1109/ISSPA.2010.5605449",
language = "English",
isbn = "9781424471676",
series = "10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010",
pages = "480--483",
booktitle = "10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010",
note = "null ; Conference date: 10-05-2010 Through 13-05-2010",
}