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Fractional Contrast Stretching for Image Enhancement of Aerial and Satellite Images

机译：分数对比度拉伸用于增强航空和卫星图像的图像

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摘要

Aerial and satellite photographs suffer from uncontrollable weather conditions. Frequently, illumination of the same region can be totally different. This is usually due to shadowing self-obstruction or light reflection. Existing image enhancement methods fail to improve hidden details and local contrast at the same visualization level. They are not developed to enhance through local dark or light regions simultaneously. Also, the current aerial and satellite image enhancement methods have several limitations. For instance, these include intensity saturation, non-uniform brightness, halo effect, blur edges, and so on. This article introduces a fractional contrast stretching concept for aerial and satellite image enhancement based on a novel automated non-uniform luminance normalization that is not provided by the user as input parameters. The introduced approach contains several new techniques: (i) no reference non-linearly fractional contrast stretching with automatic non-uniform luminance normalization and (ii) non-linearly local contrast stretching for spatial details and edge sharpening. The proposed algorithm was tested on the orthorectified aerial photograph database with a pixel resolution of 1 meter or finer from across the United States during 2000-2016. The simulation results illustrate the efficiency of the proposed algorithm and its advantages for cutting-edge aerial and satellite image enhancement, resulting in visualization quality. (C) 2019 Society for Imaging Science and Technology.
机译：航空和卫星照片的天气状况无法控制。通常，同一区域的照明可能完全不同。这通常是由于阴影遮挡或光反射。现有的图像增强方法无法在相同的可视化级别上改善隐藏的细节和局部对比度。它们不能同时通过局部暗或亮区域增强。而且，当前的航空和卫星图像增强方法具有一些局限性。例如，这些包括强度饱和度，亮度不均匀，光晕效果，模糊边缘等。本文介绍了一种基于新颖的自动非均匀亮度归一化的，用于航空和卫星图像增强的分数对比度拉伸概念，用户没有将其作为输入参数来提供。引入的方法包含几种新技术：（i）不进行具有自动非均匀亮度归一化的参考非线性分数对比度扩展，以及（ii）用于空间细节和边缘锐化的非线性局部对比度扩展。在2000-2016年期间，在美国各地的正射航拍照片数据库上对像素分辨率为1米或更细的像素进行了测试。仿真结果说明了所提算法的效率及其在尖端航空和卫星图像增强方面的优势，从而提高了可视化质量。 （C）2019影像科学与技术学会。

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