雾霾天气下可见光图像场景再现

为了再现雾霾天气下可见光图像的清晰场景，有效抑制雾霾退化造成的对比度、清晰度下降，提出了单色大气散射模型新的求解方法．首先，将单色大气散射模型类比Retinex模型，重新解释了大气传递图；依据大气传递图的先验知识和几点假设，建立目标函数的变分模型，将大气传递图的估计问题转化为二次规划问题．通过带约束的归一化最速下降法获取最优解，并采用多分辨率技术加速计算；在HSI空间的亮度分量上反解单色大气散射模型，得到反射图像，并依据大气传递图自适应校正饱和度分量．实验结果表明，新算法可有效去除雾霾，再现真实场景的对比度和清晰度，同现有去雾算法相比，本文算法取得了相似甚至更好的去雾效果．...

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Bibliographic Details
Published in自动化学报 Vol. 40; no. 4; pp. 744 - 750
Main Author 李权合 毕笃彦 许悦雷 查宇飞
Format Journal Article
LanguageChinese
Published 空军工程大学航空航天工程学院 西安 710038 2014
Subjects
二次规划
图像去雾
场景再现
大气散射模型
atmospheric scattering model
图像去雾
二次规划
大气散射模型
scene rendition
场景再现
Image defog
quadratic programming
Online AccessGet full text
ISSN0254-4156
1874-1029
DOI10.3724/SP.J.1004.2014.00744

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Summary:为了再现雾霾天气下可见光图像的清晰场景，有效抑制雾霾退化造成的对比度、清晰度下降，提出了单色大气散射模型新的求解方法．首先，将单色大气散射模型类比Retinex模型，重新解释了大气传递图；依据大气传递图的先验知识和几点假设，建立目标函数的变分模型，将大气传递图的估计问题转化为二次规划问题．通过带约束的归一化最速下降法获取最优解，并采用多分辨率技术加速计算；在HSI空间的亮度分量上反解单色大气散射模型，得到反射图像，并依据大气传递图自适应校正饱和度分量．实验结果表明，新算法可有效去除雾霾，再现真实场景的对比度和清晰度，同现有去雾算法相比，本文算法取得了相似甚至更好的去雾效果．
Bibliography:LI Quan-He, BI Du-Yan, XU Yue-Lei, ZHA Yu-Fei （ 1. Institute of Aeronautics and Astronautics, Air Force Engineering University, Xi＇an 710038）
In order to get a clear view of the image taken under bad weather, a novel monochrome atmospheric scattering model （MASM） is proposed, which is to restrain the decline of contrast and definition caused by haze. Firstly, the MASM is reconstructed to compare with the retinex model, and this leads to our new explanation about atmospheric transmission map. Then a variational model for atmospheric transmission map is proposed, thus the transmission map estimation problem can be formulated as a quadratic programming optimization problem. The projected normalized steepest descent method is adopted to get the optimized solution, and the multi-resolution algorithm is adopted to achieve a high computational efficiency. Finally, the reflectance image on lightness component in the HSI space in computed through solving MASM and the saturation component is adjusted according to transm
ISSN:0254-4156
1874-1029
DOI:10.3724/SP.J.1004.2014.00744