This paper presents a new approach to obtain a high resolution image from a single image low resolution by a technique of sparse representation. Sparse representation is a way of representing a signal sparsely i.e. with fewer non zero elements. In this method we find the sparse representation of the input low resolution image patches and then use the coefficient of this representation to genera...

The sparse representation based classification algorithm has been used to solve the problem of human face recognition, but the image database is restricted to human frontal faces with only slight illumination and expression changes. This paper applies the sparse representation based algorithm to the problem of generic image classification, with a certain degree of intra-class variations and bac...