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首页> 外文会议>Electro-Optical and Infrared Systems: Technology and Applications IV; Proceedings of SPIE-The International Society for Optical Engineering; vol.6737 >Dynamic range compression and contrast enhancement in IR imaging systems
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Dynamic range compression and contrast enhancement in IR imaging systems

机译：红外成像系统中的动态范围压缩和对比度增强

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摘要

The visualization of IR images on traditional display devices is often complicated by their high dynamic range. Classical dynamic range compression techniques based on simple linear mapping, reduce the perceptibility of small objects and often prevent the human observer from understanding some of the important details. Thus, more sophisticated techniques are required to adapt the recorded signal to the monitor maintaining, and possibly improving, object visibility and image contrast. The problem has already been studied with regard to images acquired in the visible spectral domain, but it has been scarcely investigated in the IR domain. In this work, we address this latter subject and propose a new method for IR dynamic range compression which stems from the lesson learnt from existing techniques. First, we review the techniques proposed in the literature for contrast enhancement and dynamic range compression of images acquired in the visible domain. Then, we present the new algorithm which accounts for the specific characteristics of IR images. The performance of the proposed method are studied on experimental IR data and compared with those yielded by two well established algorithms.
机译：传统显示设备上红外图像的可视化通常因其高动态范围而变得复杂。基于简单线性映射的经典动态范围压缩技术降低了对小物体的感知，并经常阻止人类观察者理解一些重要细节。因此，需要更复杂的技术来使记录的信号适应监视器，以保持并可能改善对象的可见性和图像对比度。关于在可见光谱域中获取的图像，已经对该问题进行了研究，但是在红外域中却很少进行研究。在这项工作中，我们将针对后一个主题，并提出一种从现有技术中学到的知识来进行IR动态范围压缩的新方法。首先，我们回顾了文献中提出的用于在可见域中获取图像的对比度增强和动态范围压缩的技术。然后，我们提出了一种新的算法，该算法考虑了红外图像的特定特征。在实验红外数据上研究了该方法的性能，并与两种完善的算法得出的结果进行了比较。

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