Single Image Haze Removal Using Dark Channel Prior
Single Image Haze Removal Using Dark Channel Prior
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DOI：
10.1109/tpami.2010.168
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发表时间：
2011-12-01
影响因子：
23.6
通讯作者：
Tang, Xiaoou
中科院分区：
文献类型：
--
作者：
He, Kaiming;Sun, Jian;Tang, Xiaoou
在本文中，我们提出了一个简单而有效的图像先验暗通道之前，从一个单一的输入图像去除雾。暗通道先验是一种室外无雾霾图像的统计量。它是基于一个关键的观察-在户外无霾图像中的大多数局部补丁包含一些像素，其强度是非常低的至少一个颜色通道。将此先验知识与雾层成像模型相结合，可以直接估计雾层的厚度，恢复出高质量的无雾层图像。各种模糊图像上的结果证明了所提出的先验知识的能力。此外，还可以获得高质量的深度图作为除雾的副产品。
In this paper, we propose a simple but effective image prior-dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of outdoor haze-free images. It is based on a key observation-most local patches in outdoor haze-free images contain some pixels whose intensity is very low in at least one color channel. Using this prior with the haze imaging model, we can directly estimate the thickness of the haze and recover a high-quality haze-free image. Results on a variety of hazy images demonstrate the power of the proposed prior. Moreover, a high-quality depth map can also be obtained as a byproduct of haze removal.