An Edge-directed Smoothness Algorithm for Image Interpolation

A novel effective image interpolation mechanism to enhance the enlarged image edges is proposed for the visual artifacts problem in traditional magnification methods and the high computational cost in some adaptive image interpolation methods. The proposed algorithm combines the edge-directed smoothness filter with the bilinear interpolation algorithm to obtain the higher quality of an interpolated image both in the edges and smooth areas. The simulation results show that the proposed algorithm gets a better visual effect. Compared with the edge-adaptive interpolation algorithm using covariance, the proposed algorithm is less complex with running time reduced 8.33 s on average and compared with the bi-cubic algorithm has higher quality with the PSNR is raised 0.30 dB on average.