A new approach in single Image Super Resolution
Saeideh Sarmadi, Zari Shamsa · 2016
Super Resolution image reconstruction tries to obtain a high resolution image from one or more observed low resolution images of the same scene, using signal processing techniques. Variety of super resolution methods have been proposed in last decades. In this paper, we propose a new super resolution algorithm based on single low resolution image. As the super resolution reconstruction is an inverse problem, our method consists of three phases up-sampling, deblurring and denoising. Experimental results show the effectiveness of the proposed method.