Image Reconstruction by Krawtchouk Moments of Two Variables
基于两变量Krawtchouk矩的图像重建

The basis functions of traditional Krawtchouk moments are constructed by the product of two Krawtchouk polynomials of one variable.However,the relation between two directions of the plane is isolated.Hence,new image moments whose basis functions are Krawtchouk polynomials of two variables are proposed in this paper,while a simple method is deduced to compute normalized polynomials.Reconstruction experiments show that,compared with discrete orthogonal moments of one variable,moments of two variables have less reconstruction error.