In recent years, the use of digital images has increased drastically in various domains in life such as medical, military, scientific and other. Images are often degraded by noises. During image capture, transmission noise can obtained or occurred. This noise affects the quality of image and loss of important information, so it is very important to remove these noises with preserving the image as much as possible. Noise removal technique play important role in the field of image processing. In image processing noise removal is an important task. By using noise removal techniques that is image filtering techniques, the quality of the image remains as it is. In this paper four types of noise such as Gaussian noise, Salt & Pepper noise, Speckle noise and Poisson noise are used to remove the noise from an image. Different filters such as Mean filter, Median filter and Wiener filter are used to remove noise.