International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,June 2016,

Topic : A Novel Approach for Radar Image De-Noising Using Non Sub Sampled Contour Let Transform and Adaptive Threshold Algorithm

Authors:Kanike Vijay Kumar || M.V.Ramana Reddy , M. Jyothirmai

Abstract:Aiming at the problem of ground penetrating radar image de-noising, a new adaptive image de-noising algorithm based on non sub sampled Contour let transform is proposed. The algorithm firstly performs non sub sampled Contour let transform to the noise image, to obtain the coefficients of each directional sub band and each scale, then, according to the energy of the coefficient, the de-noising threshold value is adjusted adaptively. Simulation results show that, compared with the wavelet threshold de-noising algorithm, the proposed algorithm can effectively remove the Gauss white noise in the image, improve the peak signal to noise ratio (PNSR), while preserving the edge details of the image, it can improve the PSNR value and reduce the Gibbs phenomenon..

Keywords: Non sub sampled Contour let Transform; De-noising; Adaptive Threshold

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DOI: 01.1617/vol3iss6pid338

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Editor Image

Dr.Zhongfu Tan
National Professor,
North China Electric Power University,

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ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
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