Blind deconvolution of natural images using segmentation based CMA
In this paper, we analyze the applicability of Constant Modulus Algorithm (CMA), one of the most widely used and tested blind equalization technique to blind image deconvolution. With a detailed mathematical analysis, we show that the strong correlation between the neighboring spatial locations found in natural images becomes a major constraint on the convergence of CMA. In order to overcome this constraint, we introduce a novel image pixel correlation model in relation with natural image...[Show more]
|Collections||ANU Research Publications|
|Source:||4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010|
|01_Samarasinghe_Blind_deconvolution_of_natural_2010.pdf||634.42 kB||Adobe PDF||Request a copy|
|02_Samarasinghe_Blind_deconvolution_of_natural_2010.pdf||40.25 kB||Adobe PDF||Request a copy|
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