Název:	Improving multiple-image super-resolution for mobile devices through image alignment selection
Autoři:	Gallego, Neil Patrick del lIao, Joel
Citace zdrojového dokumentu:	Journal of WSCG. 2018, vol. 26, no. 2, p. 122-131.
Datum vydání:	2018
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	článek article
URI:	wscg.zcu.cz/WSCG2018/!_2018_Journal_WSCG-No-2.pdf http://hdl.handle.net/11025/34598
ISSN:	1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (on-line)
Klíčová slova:	superrozlišení;mobilní zařízení;střední fúze;zarovnání obrazu
Klíčová slova v dalším jazyce:	super-resolution;mobile devices;mean fusion;image alignment
Abstrakt v dalším jazyce:	Multiple-image super-resolution (MISR) attempts to recover a high-resolution (HR) image from a set of lowresolution (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.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	Volume 26, Number 2 (2018)

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.