A Fast and Robust Hybridized Filter for Image De-Noising

In this research, we will work on the development of a new method for the removal of salt & pepper noise by creating a new hybridized filter using existing and/or new noise removal filters. The proposed filter will remove the noise with no or minimum image quality degradation. Salt & pepper noise degrades the quality of the image by hiding the details of objects in the image and also causes damages to the colour quality of an image. The noise has to be removed to obtain the good quality image after removing the salt and pepper noise. But the existing salt & pepper noise removal filter like median filter are not capable of reproducing object details in image with higher accuracy. We propose the development of an advanced salt & pepper noise removal filter using effective statistic and image processing methods to remove the noise along with support vector machine (SVMs) that will effectively do the job by reproducing the deep image details after removing the noise, which will enhance the quality of image than the existing filters.