构建多介质多退化程度的立体图像修复数据集，提升真实场景还原能力。
M3D-Stereo: A Multiple-Medium and Multiple-Degradation Dataset for Stereo Image Restoration
- 采集7904对高分辨率立体图像，覆盖四种退化场景与六级渐进退化。
- 每对图像配像素级清晰真值，支持单级与混合级退化修复任务。
- 适用于水下、雾霾、低光等复杂环境下的图像恢复与立体匹配研究。
在水下、雾霾/薄雾及低光照等恶劣环境下进行图像修复仍极具挑战，因物理退化复杂且信息严重丢失。现有数据集多局限于单一退化类型或过度依赖无立体一致性的人工合成数据，难以适用于真实场景。为此，我们提出M3D-Stereo，一个包含7904对高分辨率立体图像的公开数据集，涵盖水下散射、雾霾/薄雾、水下低光以及雾霾低光四种退化场景，每种场景分为六个逐步加剧的退化等级，支持细粒度评估修复方法。所有图像通过实验室采集，提供像素级一致的清晰真值。通过单级与混合级退化修复任务验证其有效性。M3D-Stereo为复杂退化环境中的图像修复与立体匹配提供了更受控、更真实的基准。数据集以LGPLv3许可证开源。
原文摘要 · Abstract (English)
Image restoration under adverse conditions, such as underwater, haze or fog, and low-light environments, remains a highly challenging problem due to complex physical degradations and severe information loss. Existing datasets are predominantly limited to a single degradation type or heavily rely on synthetic data without stereo consistency, inherently restricting their applicability in real-world scenarios. To address this, we introduce M3D-Stereo, a stereo dataset with 7904 high-resolution image pairs for image restoration research acquired in multiple media with multiple controlled degradation levels. It encompasses four degradation scenarios: underwater scatter, haze/fog, underwater low-light, and haze low-light. Each scenario forms a subset, and is divided into six levels of progressive degradation, allowing fine-grained evaluations of restoration methods with increasing severity of degradation. Collected via a laboratory setup, the dataset provides aligned stereo image pairs along with their pixel-wise consistent clear ground truths. Two restoration tasks, single-level and mixed-level degradation, were performed to verify its validity. M3D-Stereo establishes a better controlled and more realistic benchmark to evaluate image restoration and stereo matching methods in complex degradation environments. It is made public under LGPLv3 license.
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