College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Article

Source Title

Journal of WSCG

Volume

26

Issue

2

First Page

122

Last Page

131

Publication Date

1-1-2018

Abstract

Multiple-image super-resolution (MISR) attempts to recover a high-resolution (HR) image from a set of low resolution (LR) images. In this paper, we present a mobile MISR tailored to work for a wide range of mobile devices. Our technique aims to address misalignment issues from a previous work and further enhance the quality of HR images produced. The proposed architecture is used to implement a prototype application that is freely available at Google Play Store, titled Eagle-Eye HD Camera. The system is divided into the following modules: Input Module, Edge Detection Module, Image Selection Module, Image Alignment Module, Alignment Selection Module and Image Fusion Module. We assessed the quality of HR images produced by our mobile MISR, through an online survey, as well as compare it with other related SR works. Performance time was also measured. A total of 114 respondents have participated in the survey, where majority of respondents preferred our approach. Our approach is observed to be comparable with other SR works in terms of visual quality and performance time, and guaranteed to work in a mobile environment. © 2018, Vaclav Skala Union Agency. All rights reserved.

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Digitial Object Identifier (DOI)

10.24132/JWSCG.2018.26.2.7

Disciplines

Computer Sciences | Software Engineering

Keywords

Image registration; Cell phones

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