Author : Shiwam S. Thakare and Amit M. Sahu

Under Water Images are used for studying water life, for research work, for archeological surveys, etc. Due to bad environmental condition or due to improper acquisition process, such images may have noise in them. Image de-noising is used to remove the additive noise while retaining possible the important signal features. Object identification becomes a typical task, due to noise in it. Because of all these reasons, In this paper we introduced various image De-noising method and review the details of different systems developed so far. Here we attempted to analysis various De-noising method and classify them based on different factors, which leads to a better understanding on their operation. We also discuss the implementation details of these methods including the tools used by various authors and the metrics used to measure their performance.

Keywords: The Image De-noising, Underwater Images, PSNR, Wavelet Transformation.

Article published in International Journal of Current Engineering and Technology, Vol.5, No.1 (Feb-2015)