利用非线性图像增强技术改进无人机航拍图像

Lung-Jen Wang, W. Hsieh
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引用次数: 3

摘要

近年来,无人机视觉的应用日益广泛,然而,由于无人机图像的高频成分没有功率,导致其图像模糊。为了提高这种模糊图像的质量,图像增强是一种不可缺少的后处理方法。本文利用机会成本对无人机模糊图像的非线性图像增强方法进行改进。此外,还提出了一种改进的三次样条和机会成本的非线性图像增强方案。对不同的非线性图像增强方法,如高斯金字塔和fsd -金字塔进行了比较。
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Toward an Improvement of UAV-Aerial Image Using Non-linear Image Enhancement
Unmanned aerial vehicle (UAV)-vision applications are increasingly widespread in recent years, however, the UAV-aerial image causes a blurred condition because there is no power in the high-frequency component of aerial image. To improve the quality of such a blurred image, the image enhancement is an indispensable post-processing method. In this paper, the opportunity cost can be used to improve the non-linear image enhancement method for the UAV blurred image. In addition, a modified non-linear image enhancement scheme by cubic splines and opportunity cost will be proposed. The different non-linear image enhancement methods such as Gaussian-Pyramid and FSD-Pyramid are also compared with the proposed enhancement method.
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