Noise Reduction: A Comparative Study of Different Filters

Abstract

In modern data communication network sending visual digital images is a major issue. The image sent from the source may not be received properly by the receiver and may get corrupted with noise. Thus image needs processing before it can be used in various applications. Noise reduction in image involves the manipulation of the image data to produce a high quality image. The current paper have discussed different noise reduction techniques such filtering approach and wavelet approach for removing various noise present in images. The paper will discuss various noises such as Gaussian noise, Salt and Pepper noise, Speckle noise and Brownian noise.