Title: A novel method for super resolution image reconstruction

Authors: K. Joseph Abraham Sundar; V. Vaithiyanathan

Addresses: Computer Vision and Soft Computing Lab, School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India ' formerly School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India

Abstract: The paper proposes a technique for reconstruction of high resolution images based on surveying adjustment. The concept proposed in this technique is, an observation model defined for the sequence of low resolution images based on the observation equation proposed for the super-resolution image reconstruction. The observation equations are applied by the surveying adjustments in order to predict the grey function. The quantitative analysis of proposed technique is performed on assumed image data and real time image data. Efficiency assessment parameters like peak signal to noise ratio and sharpness index are used to analyse the performance of proposed technique with other latest techniques. In both the cases of experiments, i.e., assumed data and real time data the proposed reconstruction technique of surveying adjustment is found to be highly effective which is needed for various applications like satellite imaging, medical imaging diagnosis, military surveillance etc.

Keywords: resolution; image reconstruction; grey function; observation model.

DOI: 10.1504/IJAIP.2019.102962

International Journal of Advanced Intelligence Paradigms, 2019 Vol.14 No.1/2, pp.46 - 54

Received: 15 Apr 2016
Accepted: 24 Oct 2016

Published online: 14 Oct 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article