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首页> 外文会议>Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII >An image enhancement methodology and FPGA based implementation combining fuzzy logic and image convolution for an infrared imaging system
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An image enhancement methodology and FPGA based implementation combining fuzzy logic and image convolution for an infrared imaging system

机译：结合模糊逻辑和图像卷积的红外成像系统的图像增强方法和基于FPGA的实现

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Modern infrared imaging systems are designed based on highly sensitive infrared focal plane arrays (IRFPA), in which most of the preprocessing is done on the focal plane itself. In spite of many advances in the design of IRFPAs, it has inherent non-uniformities and instabilities, which limits its sensitivity, dynamic range and other advantages. Whenever there is little or no thermal variation in the scene, the thermal imager suffers from its inability to separate out the target of interest from its background. Thus, most of the infrared imagery suffers from poor contrast and high noise. A methodology for contrast enhancement that combines the fuzzy based processing and spatial processing is proposed. Fuzzy based processing improves the image where there are inaccuracies and uncertainties in the image, where as spatial processing is used for improving the contrast and enhancing the details. This results the overall improvement in the image quality under all conditions. This algorithm has been tested on the field-recorded data and is observed that this technique offers excellent results for thermal imager operating in both 3-5μm and 8-12 μm wavelength regions.
机译：现代红外成像系统是基于高度敏感的红外焦平面阵列（IRFPA）设计的，其中大多数预处理是在焦平面本身上完成的。尽管IRFPA的设计取得了许多进步，但它具有固有的不均匀性和不稳定性，从而限制了其灵敏度，动态范围和其他优势。每当场景中几乎没有热变化或没有热变化时，热成像仪就会无法将感兴趣的目标从背景中分离出来。因此，大多数红外图像都具有较差的对比度和高噪声。提出了一种结合基于模糊处理和空间处理的对比度增强方法。基于模糊的处理改善了图像中存在不准确性和不确定性的图像，而空间处理则用于改善对比度和增强细节。这导致在所有条件下图像质量的整体改善。该算法已经在现场记录的数据上进行了测试，并且观察到该技术为在3-5μm和8-12μm波长范围内运行的热像仪提供了出色的结果。

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