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Minimum Kurtosis CMA Deconvolution for Blind Image Restoration

Date

Authors

Samarasinghe, Pradeepa

Kennedy, Rodney

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

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

Keywords: Blind deconvolution; Blind image Restoration; CMA; Constant modulus Algorithm; Godard algorithm; Kurtosis; Algorithms; Convolution; Deconvolution; Image reconstruction; Imaging systems; Restoration; Sustainable development; Blind equalization Blind deconvolution; Blind equalization; Blind image Restoration; CMA; Constant modulus Algorithm; Godard algorithm; Image processing; Kurtosis

URI

http://hdl.handle.net/1885/52597

Collections

ANU Research Publications

Source

Proceedings of the International Conference on Information and Automation for Sustainability (ICIAFS 2008)

Type

Conference paper

DOI

10.1109/ICIAFS.2008.4783974

Restricted until

2037-12-31

Downloads

File

Description

01_Samarasinghe_Minimum_Kurtosis_CMA_2009.pdf (1.22 MB)