Open AccessPerformance evaluation of super resolution algorithms in generating high resolution images using MSE and PSNR
Author(s) -
Palani Murugan,
Vivek kumar Gautam,
Vignesh Ramanathan
Publication year - 2021
Publication title -
international journal of engineering and computer science
Language(s) - English
Resource type - Journals
ISSN - 2319-7242
DOI - 10.18535/ijecs/v10i02.4560
Subject(s) - computer science , interleaving , resolution (logic) , image resolution , data set , high resolution , algorithm , set (abstract data type) , remote sensing , satellite , artificial intelligence , computer vision , geology , aerospace engineering , engineering , programming language , operating system
In recent days, requirement of high spatial resolution remote sensing data in various fields has increased tremendously. High resolution satellite remote sensing data is obtained with long focal length optical systems and low altitude. As fabrication of high-resolution optical system and accommodating on the satellite is a challenging task, various alternate methods are being explored to get high resolution imageries. Alternately the high-resolution data can be obtained from super resolution techniques. The super resolution technique uses single or multiple low-resolution mis-registered data sets to generate high resolution data set. Various algorithms are employed in super resolution technique to derive high spatial resolution. In this paper we have compared two methods namely overlapping and interleaving methods and their capability in generating high resolution data are presented.