IDE: Image Dehazing and Exposure Using an Enhanced Atmospheric Scattering Model
IDE: Image Dehazing and Exposure Using an Enhanced Atmospheric Scattering Model
复制标题
IDE：使用增强型大气散射模型进行图像去雾和曝光
DOI：
10.1109/tip.2021.3050643
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发表时间：
2021-01-01
影响因子：
10.6
通讯作者：
Guo, Y. Jay
中科院分区：
文献类型：
--
作者：
Ju, Mingye;Ding, Can;Guo, Y. Jay
大气散射模型(ASM)是描述雾霾图像成像过程中应用最广泛的模型之一。然而，我们发现ASM有一个内在的局限性，这导致了恢复结果的暗淡效果。本文将光吸收系数这一新的参数引入到ASM算法中，得到了一种改进的ASM算法(EASM)，该算法能较好地模拟室外雾霾场景，解决了模糊效果差的问题。在此基础上，提出了一种简单有效的基于灰度世界假设的图像增强技术--IDE，用于增强模糊图像的可见性。实验结果表明，该除雾剂具有良好的除霾效果，消除了遮光效应。值得一提的是，IDE不需要任何训练过程或与场景深度相关的额外信息，这使得它非常快速和健壮。此外，IDE中使用的全局拉伸策略可以有效地避免恢复结果中的一些不良影响，如过度增强、过饱和和雾滴残留等。与其他最先进的技术相比，IDE在去霾质量和效率方面都优于所有同类技术。
Atmospheric scattering model (ASM) is one of the most widely used model to describe the imaging processing of hazy images. However, we found that ASM has an intrinsic limitation which leads to a dim effect in the recovered results. In this paper, by introducing a new parameter, i.e., light absorption coefficient, into ASM, an enhanced ASM (EASM) is attained, which can address the dim effect and better model outdoor hazy scenes. Relying on this EASM, a simple yet effective gray-world-assumption-based technique called IDE is then developed to enhance the visibility of hazy images. Experimental results show that IDE eliminates the dim effect and exhibits excellent dehazing performance. It is worth mentioning that IDE does not require any training process or extra information related to scene depth, which makes it very fast and robust. Moreover, the global stretch strategy used in IDE can effectively avoid some undesirable effects in recovery results, e.g., over-enhancement, over-saturation, and mist residue, etc. Comparison between the proposed IDE and other state-of-the-art techniques reveals the superiority of IDE in terms of both dehazing quality and efficiency over all the comparable techniques.