论文标题
红外图像增强技术的性能评估
Performance Evaluation of Infrared Image Enhancement Techniques
论文作者
论文摘要
红外（IR）图像被广泛用于许多领域，例如医学成像，对象跟踪，天文学和军事用途，以确保边界。红外图像可以根据捕获设备的类型白天或晚上捕获。捕获设备使用具有更长波长的电磁辐射。基于波长和相应频率的范围，有几种类型的IR辐射。由于尖锐和其他伪影，IR图像没有清晰可见。在本文中，我们介绍了有关IR成像增强技术的完整及格调查。该调查包括红外辐射类型和设备以及现有的IR数据集。该调查涵盖了空间增强技术，基于频率域的增强技术和基于深度学习的技术。
Infrared (IR) images are widely used in many fields such as medical imaging, object tracking, astronomy and military purposes for securing borders. Infrared images can be captured day or night based on the type of capturing device. The capturing devices use electromagnetic radiation with longer wavelengths. There are several types of IR radiation based on the range of wavelength and corresponding frequency. Due to noising and other artifacts, IR images are not clearly visible. In this paper, we present a complete up-todate survey on IR imaging enhancement techniques. The survey includes IR radiation types and devices and existing IR datasets. The survey covers spatial enhancement techniques, frequency-domain based enhancement techniques and Deep learning-based techniques.
