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Volume: 29 | Article ID: art00012
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A RGB/NIR Data Set For Evaluating Dehazing Algorithms
  DOI :  10.2352/ISSN.2470-1173.2017.12.IQSP-229  Published OnlineJanuary 2017
Abstract

Realistic test data is needed to evaluate and rank the performance and quality of dehazing algorithms for image enhancement. Especially for professional photography and cinematography, this test data has to fulfill high quality standards including high dynamic range, sufficient resolution and natural color reproduction. For this purpose, we present a new multispectral data set that includes RGB and near-infrared (NIR) images captured by two professional digital motion picture cameras. Compared to existing data sets, the benefits of our set are threefold. Due to our two camera setting we are able to provide synchronous and well registered RGB/NIR image pairs captured at the same instant of time. High quality real image sequences allow future algorithms to take account of the temporal consistency of the dehazed output images. Furthermore, to facilitate a uniform and fair evaluation of different algorithms we provide ground truth images for selected RGB/NIR image pairs. The data set is freely available at http://www.arri.com/innovations/.

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Julia Lüthen, Julian Wörmann, Martin Kleinsteuber, Johannes Steurer, "A RGB/NIR Data Set For Evaluating Dehazing Algorithmsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XIV,  2017,  pp 79 - 87,  https://doi.org/10.2352/ISSN.2470-1173.2017.12.IQSP-229

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Copyright © Society for Imaging Science and Technology 2017
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Electronic Imaging
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