Fast image interpolation algorithm based on edge-directed max-relativity
基于边缘最大相关性的快速图像插值算法

Better subjective quality and lower computational complexity of the algorithm are important in video and network signal processing. And the smooth effect and staircase of image details or edges are inevitable during conventional image interpolation. A new rapid image interpolation algorithm based on edge-directed max-relativity was proposed. The algorithm took account of the multiple directions relativity of local neighbors and made full use of six down-sampled neighbors involved in the low-resolution image to estimate relative information at high resolution. Experimental resuhs demonstrate that the algorithm not only decreases the computational complexity but also substantially improves the visual quality of the interpolated images.