Local self similarity-based super-resolution for asymmetric dual-camera
- Authors
- Moon, B.; Yu, S.; Ko, S.; Park, S.; Paik, J.
- Issue Date
- Oct-2016
- Publisher
- IEEE Computer Society
- Keywords
- dual-camera system; local selfsimilarity; Super-resolution
- Citation
- IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, v.2016-October, pp 46 - 47
- Pages
- 2
- Journal Title
- IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
- Volume
- 2016-October
- Start Page
- 46
- End Page
- 47
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48422
- DOI
- 10.1109/ICCE-Berlin.2016.7684713
- ISSN
- 2166-6814
- Abstract
- This paper presents a super-resolution (SR) method for the asymmetric dual-camera system. The proposed method restores the high-resolution (HR) image using the local self-similarity between two input images as wide- and tele-view images. The proposed method consists of three steps: i) registration and warping processes to reduce the disparity between the input images, ii) high-frequency patch extraction from the tele-view image, and iii) super-resolution reconstruction using local self-similarity property. Experimental results show that the proposed method can significantly restore the HR image than existing interpolation and SR methods.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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