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A New Method of Visibility Enhancement for single Foggy or Hazy Image

机译:增强单个模糊或朦胧图像的可见性的新方法

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Outdoor images captured in bad weather conditions often have poor qualities in terms of visibility and contrast. In this paper, a new method to enhance visibility of fog or haze-degraded images was proposed. By testing the real scene images taken in foggy weather with prevailing dehazing algorithms, the design concept of this method was as following: the local detail factors of each sub-block on the input image was acquired firstly, then local detail factors and power-law transformation were applied to modify the global histogram based on which the adaptive brightness preserving histogram equalization was conducted. With the proposed algorithm, output image gained excellent visibility and acceptable visual effect. Furthermore, the problem of uneven light transmission in a defective optical system could be compensated to suppress facula effect in output image.
机译:在恶劣天气条件下拍摄的户外图像在可见度和对比度方面通常质量较差。在本文中,提出了一种新的方法来增强雾或雾霾降解图像的可见性。通过使用流行的除雾算法测试在大雾天气下拍摄的真实场景图像,该方法的设计思想是:首先获取输入图像上每个子块的局部细节因子,然后获取局部细节因子和幂律。进行变换以修改全局直方图,在此基础上进行自适应亮度保持直方图均衡。利用所提出的算法,输出图像获得了出色的可见性和可接受的视觉效果。此外,可以补偿有缺陷的光学系统中光透射不均匀的问题,以抑制输出图像中的光斑效应。

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