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.
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