Image Processing using Universal Filter

The image processing is the mechanism of clearing any noise while preserving the quality of the image. The noise can be caused by the temperature rise or due to the medium from which the information is transferred. The Gaussian noise is another kind of noise which has same probability density function as the normal function. The proposed paper deals with design of universal filter which tackles salt and pepper as well as Gaussian nose. The experimental evaluation shows that the proposed filtering produced better result as compared to the median and homomorphic filter. The universal filter is proposed which will takes into consideration multiple noises within the image and rectify it. The existing filters deals with only certain type of noises hence for distinct noise distinct filter is required. The universal filter solves this problem and reduces the time and complexity associated with the filtering mechanism. Our approach is extended to medical images to automatically remove mix noise in terms of Gaussian and Impulse noise.