论文标题
NH-Haze：图像具有非均匀朦胧和无雾图的模糊基准
NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images
论文作者
论文摘要
Dimage Dehazing是一个不足的问题，在近年来已经进行了广泛的研究。飞机方法的客观绩效评估是由于缺乏参考数据集而导致的主要障碍之一。虽然合成数据集显示出重要的局限性，但最近引入的少数现实数据集在整个场景中都假定均匀的雾度。由于在许多实际情况下，Haze并非均匀分布，因此我们引入了NH-Haze，NH-Haze是一种非均匀的逼真的数据集，具有成对的真实朦胧和相应的无薄膜图像。这是第一个非均匀图像除尘数据集，并包含55个室外场景。现场中使用了一种模仿朦胧场景的真实条件的专业雾兹发电机，在现场引入了非均匀的雾度。此外，这项工作还对使用NH-Haze数据集进行了评估的几种最新单一图像飞机方法进行了客观评估。
Image dehazing is an ill-posed problem that has been extensively studied in the recent years. The objective performance evaluation of the dehazing methods is one of the major obstacles due to the lacking of a reference dataset. While the synthetic datasets have shown important limitations, the few realistic datasets introduced recently assume homogeneous haze over the entire scene. Since in many real cases haze is not uniformly distributed we introduce NH-HAZE, a non-homogeneous realistic dataset with pairs of real hazy and corresponding haze-free images. This is the first non-homogeneous image dehazing dataset and contains 55 outdoor scenes. The non-homogeneous haze has been introduced in the scene using a professional haze generator that imitates the real conditions of hazy scenes. Additionally, this work presents an objective assessment of several state-of-the-art single image dehazing methods that were evaluated using NH-HAZE dataset.
