Image de-noising with virtual hexagonal image structure

Abstract

Up to several years ago, all images had certain square pixel structures and all processing works were done on the same basis. After a few years a new hexagonal pixel structure was introduced. Because of having more symmetry and several other benefits, the hexagonal structure is very highly regarded. Up to now many researchers have addressed many applications of this new structure, including rotation, scaling, and edge detection. In this paper, we apply this new structure and consider its application in de-noising. We also introduce a new method for de-noising images with hexagonal pixel structures. Then, we will compare the obtained results with images of square structures. Experimental results show that the proposed de-nosing algorithm on the image with hexagonal pixels improves Signal-to-Noise Ratio compared with de-noising square pixels algorithm.