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Performance evaluation of image enhancement techniques on a digital image-intensifier

机译:数字图像增强器上图像增强技术的性能评估

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摘要

Recently new techniques for night-vision cameras are developed. Digital image-intensifiers are becoming available on the market. Also, so-called EMCCD cameras are developed, which may even be able to record color information about the scene. However, in low-light situations all night-vision imagery becomes noisy. In this paper we evaluate the performance of image enhancement techniques for one type of noisy night imagery, that is a digital image-intensifier. The image enhancement techniques tested are noise reduction, super-resolution reconstruction and local adaptive contrast enhancement. The results show that image enhancement techniques improve the usage of image-intensifiers in low-light conditions. The largest improvement is found for super-resolution reconstruction applied at the smallest objects. This indicates that part of the improvement is obtained by resolution enhancement. Applying LACE does not change the performance, indicating that in this setup LACE performs equal to the automatic gain control of the image-intensifier.
机译:最近,开发了用于夜视摄像机的新技术。数字图像增强器正在市场上出现。此外,还开发了所谓的EMCCD相机,甚至可以记录有关场景的颜色信息。但是,在光线不足的情况下,所有夜视图像都会变得嘈杂。在本文中,我们评估了一种类型的嘈杂夜景图像(即数字图像增强器)的图像增强技术的性能。测试的图像增强技术包括降噪,超分辨率重建和局部自适应对比度增强。结果表明,图像增强技术改善了弱光条件下图像增强器的使用。对于应用于最小对象的超分辨率重建,发现了最大的改进。这表明部分改善是通过分辨率增强获得的。应用LACE不会改变性能,这表明在此设置中,LACE的性能等同于图像增强器的自动增益控制。

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