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An adaptive approach for visibility enhancement in aerial imagery

机译:一种提高航空影像能见度的自适应方法

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摘要

A novel spatial domain image enhancement algorithm, in which dynamic range of the scene illumination is compressed from the human visual perspective to improve the visual quality and visibility in digital images captured under degraded visual conditions, is proposed. The proposed algorithm employs an adaptive approach so that local image statics, namely the local standard deviation and the local mean in the image are modified simultaneously utilizing an intensity transform based on a "S" shape curve, the curvature parameter of which is determined adaptively followed by a local contrast enhancement process. The performance of the algorithm is evaluated by a statistical visual measure, along with visual comparisons of the proposed method with state-of-the-art enhancement algorithms are given.
机译:提出了一种新颖的空间域图像增强算法,该算法从人的视觉角度压缩场景照明的动态范围,以改善在退化的视觉条件下捕获的数字图像的视觉质量和可见度。所提出的算法采用自适应方法,从而利用基于“ S”形曲线的强度变换同时修改局部图像静态量,即图像中的局部标准差和局部均值,并自适应地确定其曲率参数。通过局部对比度增强过程。通过统计视觉测量评估算法的性能,并给出了所提方法与最新增强算法的视觉比较。

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