Open Turbulent Image Set (OTIS)

•A free dataset of sequences acquired through atmospheric turbulence is proposed.•Groudtruths are provided for quantitative assessment of restoration algorithms.•Possible metrics are discussed to assess the algorithm efficiency. Long distance imaging is subject to the impact of the turbulent atmosph...

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Bibliographic Details
Published in:Pattern recognition letters Vol. 86; pp. 38 - 41
Main Authors: Gilles, Jérôme, Ferrante, Nicholas B.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 15.01.2017
Elsevier Science Ltd
Subjects:
Algorithms
Atmosphere
Dataset
Datasets
Evaluation
Image acquisition
Image processing systems
Imaging
Sequences
Turbulence
Evaluation
Turbulence
Imaging
Dataset
41A10
65D05
65D17
41A05
ISSN:0167-8655, 1872-7344
Online Access:Get full text
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Summary:•A free dataset of sequences acquired through atmospheric turbulence is proposed.•Groudtruths are provided for quantitative assessment of restoration algorithms.•Possible metrics are discussed to assess the algorithm efficiency. Long distance imaging is subject to the impact of the turbulent atmosphere. This results into geometric distortions and some blur effect in the observed frames. Despite the existence of several turbulence mitigation algorithms in the literature, no common dataset exists to objectively evaluate their efficiency. In this paper, we describe a new dataset called OTIS (Open Turbulent Images Set) which contains several sequences (either static or dynamic) acquired through the turbulent atmosphere. For almost all sequences, we provide the corresponding groundtruth in order to make the comparison between algorithms easier. We also discuss possible metrics to perform such comparisons.
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ISSN:0167-8655
1872-7344
DOI:10.1016/j.patrec.2016.12.020