Modified Back Projection Kernel Based Image Super Resolution

Author

Rasti, Pejman ; Lusi, Iiris ; Sahakyan, Armen ; Traumann, Andres ; Bolotnikova, Anastasia ; Daneshmand, Morteza ; Kiefer, Rudolf ; Aabloo, Alvo ; Anbarjafar, Gholamreza ; Demirel, Hasan ; Ozcinar, Cagri

Author_Institution

IMS Lab., Inst. of Technol. Univ. of Tartu, Tartu, Estonia

fYear

2014

Firstpage

161

Lastpage

165

Abstract

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.

Keywords

image registration; image resolution; interpolation; iterative methods; BP; PSNR; SSIM; back projection kernel; image registration; image super resolution; iterative interpolation; peak signal-to-noise ratio; structural similarity index; Image registration; Image resolution; Image sensors; Interpolation; Sensors; Signal resolution; Back Projection Kernel; High-Resolution Imaging; Image Registration; Image Resolution; Super resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on

Print_ISBN

978-1-4799-7599-0

Type

conf

DOI

10.1109/AIMS.2014.21

Filename

7102453