FUSION OF FEATURES TO ENHANCE QUALITY OF IMAGE

Abstract

The current research work is aimed towards improving the image quality. To begin with such capabilities it is necessary to go back in the past and identify the work of previous author that has given us the same result and provided the kind of concept required for image denoising. The understanding of images is not important but for the current research work that needs to be used for examples used in this report. As the work is considered few filters are used that will be of more imperatives because they keep the understanding of the more advanced filters. As the work is more important and relevant the important results will be based on new filters. In such the same will be done for basic filters their names include, mean, median and Gaussian filters. These filters have a better part of leading and learning on the same context as that of the advanced filters. Since these filters are very basic and needs less time for implementation they remain very popular. But on the other side their implementation is easier doesn’t make them good for actually filtering. The same results will be understanding the same related for the same and thus the results will be compared and understanding of the same. This way the same will be implementation is also called the way of relation and consideration. Volterra is a not a new term but with significant improvement of time will lead to change in the improvement in the same will be made. The volterra equations are kind of recursive equations will be imperatives. This way the same will be applicable for the equations and thus the same will be used for the results and called upon and mark upon the improvement in image quality. The results will be totally based upon the quality of the images so achieved.