Image Independent Filter for Removal of Speckle Noise

This paper provides the knowledge about different techniques for speckle noise removal from different types of images like synthetic, photographic, ultrasound and Synthetic Aperture Radar images. Although many filters are available for speckle reduction, some filters are best suited for some particular class of images i.e., some filters are best suited for SAR images and others are best suited for Ultrasound images and so on. In this Paper an algorithm is developed which performs all the filtering techniques on the input image and the statistical parameters are calculated for the output images obtained from all the filters. Hence the proposed algorithm automatically take decision regarding which filter is to be used for an image type since this algorithm selects the best output among the different filter outputs and displays the optimal results among the different results produced by different filtering techniques. These statistical measures SNR,PSNR,RMSE,CoC and MSSIM [7] are compared, the images corresponding to the best statistical value are displayed along with the filter name and corresponding value of the statistical measure.