IMPORTANCE OF DWT IN DESPECKLING SAR IMAGES AND EXPERIMENTALLY ANALYZING THE WAVELET BAS ED THRESHOLDING TECHNIQUES
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 10)Publication Date: 2016-10-30
Authors : Prabhishek Singh; Raj Shree;
Page : 294-299
Keywords : SAR Image; DWT; Matlab; Hard Thresholding; Soft Thresholding;
Abstract
Speckle noise is a ‘granular pattern’ special kind of multiplicative noise mainly found in the SAR images and medical images such as CT scan and an ultrasound image . SAR is Synthetic Aperture Radar, special kind of radar that mainly captures the high - resolution images of the broad area of the earth surface. Image despeckling using wavelet transform is one efficient approach as it generates a large number of the small coefficients and a small number of the large coefficients. DWT is applied to analyze the speckled image more efficiently in detail. This paper gives a brief introduction to DWT and experimentally analyse d the hard and soft thresholding functi ons. Matlab Toolbox Main Menu (MATLAB R2014a) is used to realize the practical implementation of thresholding functions and to obtain the experimental results.
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