Image interpolation algorithm based on computational verb theory

Abstract

In this paper, a new image interpolation algorithm is proposed due to the inspiration of knowledge-based learning and dynamical control strategy which are based on computational verb theory. This algorithm takes gray level profiles and contour shapes as two processing factors. Experiments show that, with respect to the performance near edges of digital images, our algorithm is better than nearest neighbor interpolation algorithm; with respect to the performance in regions of images, our method is better than bilinear interpolation and bicubic interpolation.