公开了湍流成像数据集OTIS，助力算法客观评估
Open Turbulent Image Set (OTIS)
- 构建了含静态/动态序列的湍流图像数据集
- 多数序列配备真实图像作为对比基准
- 提供评估指标建议，适合图像复原研究者
远距离成像受大气湍流影响，导致图像几何畸变和模糊。尽管已有多种湍流抑制算法，但缺乏统一数据集用于客观评估其性能。本文介绍新数据集OTIS（Open Turbulent Images Set），包含多个通过湍流大气采集的静态与动态序列。几乎所有序列均配有真实图像作为参考，便于算法对比。同时讨论了可行的评估指标，推动该领域量化评测发展。
原文摘要 · Abstract (English)
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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