Image Denoising for AWGN Corrupted Image Using OWT & Thresholding

Prof. Pankaj Sahu; Prof. Vipul Awasthi; Shruti Badgainya

Title:
Image Denoising for AWGN Corrupted Image Using OWT & Thresholding

Authors:
Shruti Badgainya | Prof. Pankaj Sahu | Prof. Vipul Awasthi
DOI:
https://doi.org/10.31142/ijtsrd18338

Cite This Article :

Shruti Badgainya | Prof. Pankaj Sahu | Prof. Vipul Awasthi "Image Denoising for AWGN Corrupted Image Using OWT & Thresholding" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6, October 2018, pp.220-226, URL: https://www.ijtsrd.com/papers/ijtsrd18338.pdf

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Abstract :
In this work, review of various well-known algorithms for image denoising is carried out & their performances with their methodologies are comparatively assessed. A new algorithm based on the orthonormal wavelet transform (OWT) is developed. In this work images corrupted by AWGN are denoised. Simulation results shows that proposed method using Orthonormal wavelets for different values of noise Standard Deviation s in dB outperforms other available methods. Also Coiflet Wavelet performs better than Symlet, Haar & Daubechies wavelets. The proposed Orthonormal wavelet transform (OWT) method has minimum Mean Square & highest PSNR with Coif let wavelets. Simulation results shows that denoised image is 98.29 % similar for 5 dB noise standard deviation and 84.42% similar for 30 dB noise standard deviation. The proposed method has 1.35 dB & 4% improvement for s =10 dB, 2.08 dB & 7% improvement for s =20 dB & 2.26 dB & 9% improvement for s =30 dB as compared to denoising with two thresholds for edge detection [1].

Keywords :
AWGN, Image Denoising, Noise, Thresholding, DWT, OWT, PSNR, MSE, SSIM.

Publication Details:

Unique Identification Number : IJTSRD18338

Published In : Volume-2 | Issue-6, October 2018

Page Number(s) : 220-226

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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