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Cited 3 time in webofscience Cited 4 time in scopus
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Continuous digital zooming using local self-similarity-based super-resolution for an asymmetric dual camera system

Authors
Moon, ByeonghoYu, SoohwanKo, SeungyongPark, SeonheePaik, Joonki
Issue Date
Jun-2017
Publisher
OPTICAL SOC AMER
Citation
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, v.34, no.6, pp 991 - 1003
Pages
13
Journal Title
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
Volume
34
Number
6
Start Page
991
End Page
1003
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4345
DOI
10.1364/JOSAA.34.000991
ISSN
1084-7529
1520-8532
Abstract
This paper presents a digital zooming method using a super-resolution (SR) algorithm based on the local self-similarity between the wide-and tele-view images acquired by an asymmetric dual camera system. The proposed SR algorithm consists of four steps: (i) registration of an optically zoomed image to the wide-view image, (ii) restoration of the central region of the zoomed wide-view image, (iii) restoration of the boundary region of the zoomed wideview image, and (iv) fusion of the results from steps (ii) and (iii). Since an asymmetric dual camera system acquires different-resolution images on the same scene due to the different optical specifications, the proposed method can restore the low-resolution wide-view image using the ideal high-frequency component estimated from the optically zoomed image. Experimental results demonstrate that the proposed method can provide significantly improved high-resolution wide-view images compared to existing single-image- based SR methods. (C) 2017 Optical Society of America
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Paik, Joon Ki
첨단영상대학원 (영상학과)
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