@inproceedings{e26f64c854614c6ea972d9d0c2db173f,
title = "Minimum kurtosis CMA deconvolution for blind image restoration",
abstract = "A critical assumption in applying Godard CMA algorithm for blind deconvolution and equalization is the assumption of an independently distributed source. Almost all the applications in the literature have based their implementations on this assumption. To our knowledge, no research has been done on the effect of source correlation on adaptive blind deblurring of images through CMA, and this paper addresses that gap, coming up with a novel model of addressing the source correlation problem in the image deblurring through CMA.",
keywords = "Blind deconvolution, Blind equalization, Blind image Restoration, CMA, Constant modulus Algorithm, Godard algorithm, Image processing, Kurtosis",
author = "Samarasinghe, {Pradeepa D.} and Kennedy, {Rodney A.}",
year = "2008",
doi = "10.1109/ICIAFS.2008.4783974",
language = "English",
isbn = "9781424429004",
series = "Proceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008",
pages = "271--276",
booktitle = "Proceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008",
note = "2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008 ; Conference date: 12-12-2008 Through 14-12-2008",
}