A Survey on Super-Resolution Methods for Image Reconstruction

Elham Karimi, Kaveh Kangarloo, Shahram Javadi
2014 International Journal of Computer Applications  
Today, in many applications of Machine vision, image Super-Resolution is preferred. Super-Resolution is estimation of a high-resolution image from an image or several low resolution images. Popular techniques in the field of enhancing images can be used to remove noise or blurring. In this paper, an overview of super resolution methods has been presented. Types of resolution methods have been used so far can be divided into three groups as frequency-domain methods, spatial domain methods and
more » ... hniques can be classified as the wavelet domain. Super-resolution methods in different domains have different characteristics and comparison between these methods is usually done using a special index in one domain. In this paper, we will introduce these indexes and review best techniques used in all three domains.
doi:10.5120/15557-4300 fatcat:iwvpcizravgvxjx5y37uki75yq