Abstract

Noise is one of the pre-processing techniques. The image noise may be termed as random variation of
brightness or color information. There are various types of image noise. Modern technology provides us
with useful tools to capture images and videos with different scales of time.Noise removal is greatest
challenges in the digital word among the researchers, no number of noise removal algorithms are
implemented with respective multiple types of application areas and the typenoises. The basic idea behind
this paper is the find out scope and limitation of the noise removal systems for image which are existing
and able to remove the noise from the distorted or noisy video sequence. There are various methods to help
restore an image from noisy distortions. Selecting the appropriate method plays a major role in getting the
desired output. The de-noising methods tend to be problem specific. For example, a method that is used to
de-noise satellite images may not be suitable for de-noising medical images. Thus a large number of studies
have been launched to assess of quality and quantity of video sequences.