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Open Turbulent Image Set (OTIS)

Nicholas B. Ferrante, Jerome Gilles

TL;DR

A new dataset called OTIS (Open Turbulent Images Set) is described which contains several sequences (either static or dynamic) acquired through the turbulent atmosphere and provides the corresponding groundtruth in order to make the comparison between algorithms easier.

Abstract

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.

Open Turbulent Image Set (OTIS)

TL;DR

A new dataset called OTIS (Open Turbulent Images Set) is described which contains several sequences (either static or dynamic) acquired through the turbulent atmosphere and provides the corresponding groundtruth in order to make the comparison between algorithms easier.

Abstract

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.

Paper Structure

This paper contains 9 sections, 1 equation, 6 figures, 2 tables.

Figures (6)

  • Figure 1: RibCage Air Modified GoPro Hero 4 Black camera with a 25mm f/2.0 14d HFOV 3MP lens on its tripod.
  • Figure 2: The two charts serving as our static artificial targets after being printed on a poster.
  • Figure 3: Remote Controlled car utilized as our moving target for the dynamic sequences.
  • Figure 4: Groundtruth images creation procedure.
  • Figure 5: Samples of frames from different fixed pattern sequences (left) and their corresponding groundtruths (right). The first two rows correspond to a weak turbulence case while the last two ones correspond to a strong turbulence case.
  • ...and 1 more figures