Benchmarking single-image reflection removal algorithms
Removing undesired reflections from a photo taken in front of a glass is of great importance for enhancing the efficiency of visual computing systems. Various approaches have been proposed and shown to be visually plausible on small datasets collected by their authors. A quantitative comparison of e...
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sg-smu-ink.sis_research-70772021-09-29T13:04:02Z Benchmarking single-image reflection removal algorithms WAN, Renjie SHI, Boxin DUAN, Ling-Yu TAN, Ah-hwee KOT, Alex C. Removing undesired reflections from a photo taken in front of a glass is of great importance for enhancing the efficiency of visual computing systems. Various approaches have been proposed and shown to be visually plausible on small datasets collected by their authors. A quantitative comparison of existing approaches using the same dataset has never been conducted due to the lack of suitable benchmark data with ground truth. This paper presents the first captured Single-image Reflection Removal dataset `SIR 2 ' with 40 controlled and 100 wild scenes, ground truth of background and reflection. For each controlled scene, we further provide ten sets of images under varying aperture settings and glass thicknesses. We perform quantitative and visual quality comparisons for four state-of-the-art single-image reflection removal algorithms using four error metrics. Open problems for improving reflection removal algorithms are discussed at the end. 2017-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6074 info:doi/10.1109/ICCV.2017.423 https://ink.library.smu.edu.sg/context/sis_research/article/7077/viewcontent/Wan_Benchmarking_Single_Image_Reflection_ICCV_2017_paper.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Theory and Algorithms |
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Databases and Information Systems Theory and Algorithms WAN, Renjie SHI, Boxin DUAN, Ling-Yu TAN, Ah-hwee KOT, Alex C. Benchmarking single-image reflection removal algorithms |
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Removing undesired reflections from a photo taken in front of a glass is of great importance for enhancing the efficiency of visual computing systems. Various approaches have been proposed and shown to be visually plausible on small datasets collected by their authors. A quantitative comparison of existing approaches using the same dataset has never been conducted due to the lack of suitable benchmark data with ground truth. This paper presents the first captured Single-image Reflection Removal dataset `SIR 2 ' with 40 controlled and 100 wild scenes, ground truth of background and reflection. For each controlled scene, we further provide ten sets of images under varying aperture settings and glass thicknesses. We perform quantitative and visual quality comparisons for four state-of-the-art single-image reflection removal algorithms using four error metrics. Open problems for improving reflection removal algorithms are discussed at the end. |
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WAN, Renjie SHI, Boxin DUAN, Ling-Yu TAN, Ah-hwee KOT, Alex C. |
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WAN, Renjie SHI, Boxin DUAN, Ling-Yu TAN, Ah-hwee KOT, Alex C. |
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WAN, Renjie |
title |
Benchmarking single-image reflection removal algorithms |
title_short |
Benchmarking single-image reflection removal algorithms |
title_full |
Benchmarking single-image reflection removal algorithms |
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Benchmarking single-image reflection removal algorithms |
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Benchmarking single-image reflection removal algorithms |
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benchmarking single-image reflection removal algorithms |
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Institutional Knowledge at Singapore Management University |
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2017 |
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https://ink.library.smu.edu.sg/sis_research/6074 https://ink.library.smu.edu.sg/context/sis_research/article/7077/viewcontent/Wan_Benchmarking_Single_Image_Reflection_ICCV_2017_paper.pdf |
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