In the field image processing and computer vision there is one fundamental challengethat is image de-noising where the underlying goal is to enhance the original image by removing noise from a noisy image.The prime factor which reduce the quality of image is noise. It hide the important details and information of an image.Noise may be caused by the different internal or external environment. Image de-noising plays an important role in a wide range of applications such as image restoration, visual tracking, image registration where obtaining the original image contents are essential for strong performance. Various algorithms have been proposed for image de-noising, but there is one problem that image noise suppression remains same like in situations where the images are acquired under poor conditions where the noise level is very high. In this paper we discuss different noise removal filters for different noises.