Reflection removal on single light field capture using focus manipulation
Photos taken through reflective surfaces such as display windows inevitably suffer from visual degradations caused by reflection interferences. The superimposition of two layers, i.e., background and reflection, obscures important target features, and causes challenges for subsequent computer vision...
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sg-ntu-dr.10356-1401482020-05-27T02:35:12Z Reflection removal on single light field capture using focus manipulation Ni, Yun Chen, Jie Chau, Lap-Pui School of Electrical and Electronic Engineering ST Engineering-NTU Corporate Laboratory Engineering::Electrical and electronic engineering Reflection Removal Light Field Photos taken through reflective surfaces such as display windows inevitably suffer from visual degradations caused by reflection interferences. The superimposition of two layers, i.e., background and reflection, obscures important target features, and causes challenges for subsequent computer vision applications. In this paper, we introduce a reflection removal method using single light field (LF) captures. Through focus manipulation and subsequent optimization, our algorithm is able to separate reflection from background effectively by exploiting the subtle pixel parallax of LF data. Since it requires only a single capture of the scene, it can handle moving scenes that change quickly, as well as static ones. Extensive experiments have been carried out over both synthetic and real LF data, which show our method outperforms state-of-the-art ones by at least 2.9 dB in terms of background restoration PSNR, with significantly fewer visual artifacts. NRF (Natl Research Foundation, S’pore) 2020-05-27T02:35:11Z 2020-05-27T02:35:11Z 2018 Journal Article Ni, Y., Chen, J., & Chau, L.-P. (2018). Reflection removal on single light field capture using focus manipulation. IEEE Transactions on Computational Imaging, 4(4), 562-572. doi:10.1109/TCI.2018.2860465 2333-9403 https://hdl.handle.net/10356/140148 10.1109/TCI.2018.2860465 4 4 562 572 en IEEE Transactions on Computational Imaging © 2018 IEEE. All rights reserved. |
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Engineering::Electrical and electronic engineering Reflection Removal Light Field Ni, Yun Chen, Jie Chau, Lap-Pui Reflection removal on single light field capture using focus manipulation |
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Photos taken through reflective surfaces such as display windows inevitably suffer from visual degradations caused by reflection interferences. The superimposition of two layers, i.e., background and reflection, obscures important target features, and causes challenges for subsequent computer vision applications. In this paper, we introduce a reflection removal method using single light field (LF) captures. Through focus manipulation and subsequent optimization, our algorithm is able to separate reflection from background effectively by exploiting the subtle pixel parallax of LF data. Since it requires only a single capture of the scene, it can handle moving scenes that change quickly, as well as static ones. Extensive experiments have been carried out over both synthetic and real LF data, which show our method outperforms state-of-the-art ones by at least 2.9 dB in terms of background restoration PSNR, with significantly fewer visual artifacts. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Ni, Yun Chen, Jie Chau, Lap-Pui |
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Article |
author |
Ni, Yun Chen, Jie Chau, Lap-Pui |
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Ni, Yun |
title |
Reflection removal on single light field capture using focus manipulation |
title_short |
Reflection removal on single light field capture using focus manipulation |
title_full |
Reflection removal on single light field capture using focus manipulation |
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Reflection removal on single light field capture using focus manipulation |
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Reflection removal on single light field capture using focus manipulation |
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reflection removal on single light field capture using focus manipulation |
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2020 |
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https://hdl.handle.net/10356/140148 |
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1681057014570024960 |