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Authors
Affiliations
1 G. H. Raisoni College of Engineering and Management, Wagholi, Pune, IN
2 Dr. D. Y. Patil School of Engineering, University of Pune, IN
3 G. H. Raisoni College of Engineering and
Management, Wagholi, Pune, IN
4 ITM College of Engineering, Nagpur, IN
Source
Digital Image Processing, Vol 5, No 9 (2013), Pagination: 422-427
Abstract
In this Paper, a new formulation based on Least Square Regression (LSR) is discussed for image alignment. Contrary to the conventional approach, LSR technique takes an advantage in image restoration. Based on this formulation, three methods Wiener filter, Regularized filter and Blind Deconvolution are proposed and Peak Signal to Noise Ratio (PSNR) is discussed. Analysis is carried out by comparing the combination of single type of image and noise dealing PSNR for each image. We proposed automatic parameter estimation and selection of restoration methods for diversified field images.
Keywords
Blind Deconvolution, Least Square Regression, Regularized Filter, Wiener Filter.
