Samarasinghe, PradeepaKennedy, Rodney2015-12-10December 19781424428991http://hdl.handle.net/1885/52597A 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 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; Kurtosis200910.1109/ICIAFS.2008.47839742016-02-24