Super-Resolution Image Reconstruction of Aerial Photography Based on Projection onto Convex Sets
Jinghong Liu · Chinese Journal of Liquid Crystals and Displays · 2010
The traditional projection onto the convex sets super-resolution image reconstruction algorithm leads to the blur edge of reconstructed high resolution image.Based on the traditional algorithm,a method based on gradient interpolation is proposed,which is used to generate the initial estimation of the super-resolution image.Furthermore,by modifying the point spread function(PSF),the center of which is on the edge,the coefficients along the direction of big gradient are reduced,while others keep constant.We reconstruct a set of low resolution images with the updating algorithm.The experimental results show that the edges kept very well,and the performance of the reconstructed images is improved.