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An adaptive approach for visibility enhancement in aerial imagery

机译:空中图像中可见性增强的自适应方法

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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:一种新的空间域图像增强算法,其中场景照明的动态范围从人类的视角被压缩,提出了在降级的视觉条件下捕获的视觉质量和在数字图像中的可见度。所提出的算法采用自适应方法,使得本地图像静态,即图像中的局部标准偏差和局部均值被修改在基于“S”形曲线的强度变换,其曲率参数自适应地进行通过局部对比增强过程。通过统计视觉测量评估算法的性能,以及给出了所提出的方法的视觉比较,提出了最先进的增强算法。

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