An automatic wavelet-based nonlinear image enhancement technique for aerial imagery

Numan Unaldi, S. Temel, V. Asari, Z. Rahman
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引用次数: 5

Abstract

Recently we proposed a wavelet-based dynamic range compression algorithm to improve the visual quality of digital images captured in the high dynamic range scenes with non-uniform lighting conditions. The fast image enhancement algorithm which provides dynamic range compression preserving the local contrast and tonal rendition is a very good candidate in aerial imagery applications such as image interpretation for defense and security tasks. This algorithm can further be applied to video streaming for aviation safety. In this paper the latest version of the proposed algorithm which is able to enhance aerial images so that the enhanced images are better then direct human observation, is presented. The results obtained by applying the algorithm to numerous aerial images show strong robustness and high image quality.
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一种基于小波的航空图像非线性自动增强技术
本文提出了一种基于小波的动态范围压缩算法,以提高非均匀光照条件下高动态范围场景中数字图像的视觉质量。快速图像增强算法提供动态范围压缩,保留局部对比度和色调再现,是国防和安全任务中图像解译等航空图像应用的非常好的候选算法。该算法可以进一步应用于航空安全视频流。本文介绍了该算法的最新版本,该算法能够增强航空图像,使增强后的图像比直接观察的图像更好。将该算法应用于大量航拍图像,结果表明鲁棒性强,图像质量高。
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