Computational verb color image interpolation

Abstract

In computational verb(CV) image processing, the evolving function of a spatial verb denotes the changes of gray-values along spatial coordinates. The spatial configurations and the changes of the brightness function as two kinds of the evolving functions of spatial verbs. In our previous work, gray level profiles and contour shapes were used to construct edge models for describing edges of image, and then, achieved the CV interpolation algorithm by using computational verb similarities. In this paper, CV interpolation will be extended to color images, make up the current lack of effective edge detection algorithm and interpolation algorithm for color images. Experiments show that, CV interpolation algorithm has good performance for color images, in the case of a fixed magnification, high resolution image quality is better than other algorithms.