Open Access Journal

ISSN : 2394 - 6849 (Online)

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

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

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

Monthly Journal for Electronics and Communication Engineering
Call For Paper : Vol 11, Issue 03, March 2024

ISSN : 2394-6849 (Online)

Call for Paper

Vol 11, Issue 03, March 2024

Indexing

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

Author : Kanike Vijay Kumar 1 M.V.Ramana Reddy 2 M. Jyothirmai 3

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Date of Publication :7th June 2016

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.

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