32‐2: Improvement in Directional Cubic Convolution Image Interpolation

Abstract

Compared with traditional methods, edge‐based interpolation algorithm can generate high‐resolution images with rare edge artifacts. However complex textured regions produce morphological distortion at the same time, resulting in a HD image looks unnatural. In this paper, we analyze the disadvantages of the best performing edge‐based interpolation (DCCI) algorithm and propose a novel adaptive edge‐based interpolation algorithm, which use both 2‐D texture entropy and directional gradient to eliminate the distortion. It turns out that this method can effectively improve the image quality.