WASET
	%0 Journal Article
	%A Syed Musharaf Ali and  Muhammad Younus Javed and  Naveed Sarfraz Khattak
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 7, 2007
	%T Wavelet-Based Despeckling of Synthetic Aperture Radar Images Using Adaptive and Mean Filters
	%U https://publications.waset.org/pdf/15655
	%V 7
	%X In this paper we introduced new wavelet based algorithm for speckle reduction of synthetic aperture radar images, which uses combination of undecimated wavelet transformation, wiener filter (which is an adaptive filter) and mean filter. Further more instead of using existing thresholding techniques such as sure shrinkage, Bayesian shrinkage, universal thresholding, normal thresholding, visu thresholding, soft and hard thresholding, we use brute force thresholding, which iteratively run the whole algorithm for each possible candidate value of threshold and saves each result in array and finally selects the value for threshold that gives best possible results. That is why it is slow as compared to existing thresholding techniques but gives best results under the given algorithm for speckle reduction.

	%P 1890 - 1894