Survey for Image Magnification and Parameter Problem Issues Based on Gauss Distribution Function

Abstract

In this paper, we do image magnification based on Gauss Distribution Function on Kriging Method. Firstly, we process the digital image matrix is to continuous block matrices. Secondly, we simulate and enlarge the matrices with Gauss Distribution Function. Finally, we compare the quality of enlarged images between Gauss and Multi-Quadric method on average Euclidean distanceï¹ . We figure out Gauss Function does better both in gray images and color ones. Besides, we find out that the most suitable parameter value c is 1.305 in gray image and 1.28 in color image. Above all, we enlarge figures with better function and find out the most suitable parameter values in this method.