Super-resolution Reconstruction Method for Single Frame Image Based on Clustering
LI Juan-jua · Jisuanji gongcheng · 2013
To the question of single frame image super-resolution,implement single frame image super-resolution with the prior of training images,this paper proposes a single frame image super-resolution reconstruction method based on clustering.It builds a structural clustering based high-resolution dictionary from a set of high-resolution images,optimizes objective equation by using iterative shrinkage solution to solve the representation coefficient of high-resolution image,reconstructs low-resolution image by exploiting the learned high-resolution dictionary.Experimental results show that compared with Total Variation(TV) method,Softcuts method and Sparse Representation(SR) method,the effect of the single frame image super-resolution reconstruction of this method is better.