ISSN: 2349-5162 | Impact Factor: 5.87

JETIREXPLORE- Search Thousands of research papers

Published in:

Volume 4 Issue 4
eISSN: 2349-5162

Unique Identifier


Page Number


Share This Article

Jetir RMS

Indexing Partner


Modified Gaussian Noise De-Noising using Orthonormal Wavelets


In this work, investigation of several well-known algorithms for image denoising is carried out & their performance with their methodologies are comparatively assessed. A new algorithm based on the orthonormal wavelet transform (OWT) is developed. This shows better performance in comparison with the performance of other algorithms. In addition, it has been shown to enjoy the advantage of implementation simplicity. There are different types of noises that may corrupt an image in real life such as, salt-pepper noise, Sparkle noise shot noise, amplification noise, quantization noise etc. However, AWGN or Gaussian noise was considered in this work. A major part of the work was devoted to the review, implementation & performance assessment of published image denoising algorithms based on various techniques including the wavelet transform. The wavelet based approach finds applications in denoising images corrupted with Gaussian noise. The well-known Lena image corrupted with AWGN was denoised using OWT wavelet methods.

Key Words

AWGN, Image Denoising, Noise, DWT, OWT

Cite This Article

"Modified Gaussian Noise De-Noising using Orthonormal Wavelets", International Journal of Emerging Technologies and Innovative Research (, ISSN:2349-5162, Vol.4, Issue 4, page no.92-97, April-2017, Available :

Publication Details

Published Paper ID: JETIR1704023
Registration ID: 170091
Published In: Volume 4 | Issue 4 | Year April-2017
DOI (Digital Object Identifier):
Page No: 92-97
ISSN Number: 2349-5162

Preview This Article

Click here for Article Preview

Download PDF



Print This Page

Impact Factor

Impact factor: 4.14

Jetir RMS