Open Turbulent Image Set (OTIS)

TL;DR

OTIS is a new dataset of turbulent atmospheric images with groundtruths, enabling objective evaluation of turbulence mitigation algorithms and facilitating comparison through proposed metrics.

Contribution

The paper introduces OTIS, a comprehensive dataset for turbulence mitigation research, including sequences and groundtruths, addressing the lack of standard evaluation resources.

Findings

OTIS provides multiple sequences with groundtruths.

The dataset supports evaluation of turbulence mitigation algorithms.

Metrics for comparison are discussed.

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.