Modified Back Projection Kernel Based Image Super Resolution

• Published in: 2014 2nd International Conference on Artificial Intelligence, Modelling and Simulation pp. 161 - 165
• Main Authors: Rasti, Pejman, Lusi, Iiris, Sahakyan, Armen, Traumann, Andres, Bolotnikova, Anastasia, Daneshmand, Morteza, Kiefer, Rudolf, Aabloo, Alvo, Anbarjafar, Gholamreza, Demirel, Hasan, Ozcinar, Cagri
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-11-2014
• Subjects: Back Projection Kernel; High-Resolution Imaging; Image registration; Image resolution; Image sensors; Interpolation; Sensors; Signal resolution; Super resolution
• DOI: 10.1109/AIMS.2014.21

In this paper, we propose a new super resolution technique based on iterative interpolation followed by registering them using back projection (BP). Firstly the low resolution image is interpolated and then decimated to four low resolution images. The four low resolution images are interpolated and registered by using BP in order to generate a sharper high resolution image then high resolution image is down sampled and back to the first step. The proposed method has been tested on some bench mark images. The peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) results as well as the visual results shows the superiority of the proposed technique over the conventional and state-of-art image super resolution techniques. In Average, the PSNR is 2.72 dB higher than the bicubic interpolation.