Abstract
Noise in an image arises due to imperfections of the imaging instruments, human instability errors while acquisition of images, various surrounding disturbing factors etc. Noise can also arise while transmission, compression or storage of image. Noise leads to degradation of an image. An image may even lose its data of interest. Image de-noising is the very first method of analyzing and processing an image. There are various kind of noise like noises appear grainy dots some periodic lines some may even overshadow the original image etc. Various de-noising algorithms and techniques are derived to de-noise an image of respective type of noises. In this paper, we will conclude some new de-noising methods and algorithms that have been created and discuss about their effectiveness, their limitations and their future scope.
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