ABSTRACT

Images obtained by satellites are useful in many environmental applications such as tracking of earth resources, geographical mapping etc. These images are often corrupted by noise during their acquisition and transmission. Satellite images contain a special type of periodic noise called striping or banding noise. Numerous methods have been presented in the literature to remove the banding noise. These methods besides removing noise also tend to blur the images. In this thesis work an attempt is made to develop such algorithm in which the image quality is retained to the maximum extent. This method is based on two transforms DWT and DCT, both having very good decorrelation power to decorrelate the noise from the grayscale images.