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Multiscale Blind Image Restoration with a New Method

Authors: Alireza Mallahzadeh, Hamid Dehghani, Iman Elyasi


A new method, based on the normal shrink and modified version of Katssagelous and Lay, is proposed for multiscale blind image restoration. The method deals with the noise and blur in the images. It is shown that the normal shrink gives the highest S/N (signal to noise ratio) for image denoising process. The multiscale blind image restoration is divided in two sections. The first part of this paper proposes normal shrink for image denoising and the second part of paper proposes modified version of katssagelous and Lay for blur estimation and the combination of both methods to reach a multiscale blind image restoration.

Keywords: image denoising, Multiscale blind image restoration, blur estimation

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[1] Hyuk Park ''Blind Image Restoration for MMW Radiometer Based On Wavelet'' Techniques Gwangju Institute of Science and Technology Korea 2005 IEEE.
[2] Paul s Addison ''The Illustrated Wavelet Transform Handbook''. Napier University, Edinburgh, UK British library 2002.
[3] Sze-Ho ''Multiscale Blind Image Restoration Using A Wavelet Decomposition'', Computer Engineering Georgia Institute 1996 IEEE.
[4] Mark. R. Banham ''Spatially Adaptive Wavelet-Based Multiscale Image restoration'' IEEE transaction on Image Processing, Vol. 5, No. 4, April 1996.
[5] S. Grace Chang ''adaptive Wavelet Thresholding for Image denoising and compression'' IEEE transactions on Image processing, Vol. 9, No. 9 September 2000.
[6] D. Kundur and D.Hatzinakos, ''Blind Image Deconvolution Revisited'' IEEE Signal Processing Magazine'', Vol.13, No.6, pp.61-63, Nov 1996.
[7] A.K. Katssagelous ''Digital Image Restoration'' New-York: springer- Verlag.1991.
[8] Savita Gupta ''wavelet Based Image Compression Using Daubechies Filter'', Bombay, NCC-2002.
[9] N M. Vatterli and J. Kovacevic, ''Wavelets and subband Coding''. Englewood Cliffs, NJ, Prentice Hall, 1995.
[10] Lakhwinder Kaur and Savita Gupta and R.C.Chauhan, ''Image denoising using wavelet thresholding''.punjab (148106), India.2003.
[11] A. K. Katssagelous and K. T. Lay, ''Maximum Likelihood Blur Identification and Image restoration Using the EM algorithm'' .IEEE Transactions on Signal Processing, Vol. 39, No.3, March 1991.