Study on Image De-Noising and Technique

6 Pages Posted: 29 May 2019

See all articles by Archana Barthwal

Archana Barthwal

Uttaranchal University

Sumita Lamba

Uttaranchal University

Musheer Vaquar

Uttaranchal University, Department of Computer Science & Engineering (CSE) Students

Date Written: March 15, 2019

Abstract

Noise in an image may be unwanted signals, elements or any natural involvement. De-noising the noisy image is a very crucial task, for which there are number of different methods, algorithms and transforms available. In this paper, a review of different types of image noise and methods of de-noising has been discussed. The merits and demerits of the techniques have also been discussed. The filters and domains for different types of noise is discuss like in Salt and Pepper NSM Filter show good result, Gaussian noise Linear and Non-Filter, Speckle noise spatial and frequency domain and Poisson ROF model use. Comparison of domain, filter and their result is done in different types of noise. The focus of the work is to identify the advantages and disadvantages of different algorithms.

Keywords: image denoising, Gaussian noise, salt and pepper noise, Poisson noise, speckle noise, spatial domain

Suggested Citation

Barthwal, Archana and Lamba, Sumita and Vaquar, Musheer, Study on Image De-Noising and Technique (March 15, 2019). International Conference on Advances in Engineering Science Management & Technology (ICAESMT) - 2019, Uttaranchal University, Dehradun, India, Available at SSRN: https://ssrn.com/abstract=3394123 or http://dx.doi.org/10.2139/ssrn.3394123

Archana Barthwal (Contact Author)

Uttaranchal University ( email )

Arcadia Grant
Premnagar
Dehradun, 248007
India

Sumita Lamba

Uttaranchal University ( email )

Arcadia Grant
Premnagar
Dehradun, 248007
India

Musheer Vaquar

Uttaranchal University, Department of Computer Science & Engineering (CSE) Students ( email )

Dehradun, 248007
India

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