A literature review of various techniques available on Image Denoising

Abstract

This paper provides a literature review of the different approaches used for image denoising. Various approaches are studied and their results are compared to provide a better understanding of the filters used to de-noise images. It is shown that how a single image is subjected to various denoising techniques and how it can react to those filters. Statistical and mean deviation techniques used by halder et al. (2019) and CNN techniques used by zing et al.(2018) are reviewed in detail to show how salt and pepper noise can be removed from the images. Each paper that is discussed here has explored the individual approach based on their research and the aim of this paper is to discuss all those approaches in a subsequent manner. Keywords— Image pre-processing, noise removal, image denoising, salt and pepper noise, noise filter, non-linear filters, median filter, deep learning for noise removal.