论文标题
通过复杂功能融合可见图像和红外图像
Fusion of visible and infrared images via complex function
论文作者
论文摘要
我们提出了一种算法，用于从视觉和红外摄像机收集的部分图像融合，以使视觉和红外图像是复杂函数的真实和虚构部分。复杂函数的所提出的图像融合算法是对常规图像添加算法的概括，与添加复合数的方式是添加实数的概括。复杂函数的提出算法在使用中很简单，计算机功率不需要单元。融合图像的复杂形式打开了形成融合图像作为振幅图像或相位图像的可能性，而相位图像则可以以几种形式形式。从理论上讲，我们证明了融合相位图像的局部对比度高于部分图像的局部对比度，以及与简单或加权添加算法获得的图像相比。使用直方图进行的融合相图像的实验图像质量评估，熵与输入部分图像的相比，相比显示了相位图像的质量较高，以及文献中报道的不同融合方法获得的相比。关键字：数字图像处理，图像融合，红外成像，图像质量评估
We propose an algorithm for the fusion of partial images collected from the visual and infrared cameras such that the visual and infrared images are the real and imaginary parts of a complex function. The proposed image fusion algorithm of the complex function is a generalization for the algorithm of conventional image addition in the same way as the addition of complex numbers is the generalization for the addition of real numbers. The proposed algorithm of the complex function is simple in use and non-demanding in computer power. The complex form of the fused image opens a possibility to form the fused image either as the amplitude image or as a phase image, which in turn can be in several forms. We show theoretically that the local contrast of the fused phase images is higher than those of the partial images as well as in comparison with the images obtained by the algorithm of the simple or weighted addition. Experimental image quality assessment of the fused phase images performed using the histograms, entropy shows the higher quality of the phase images in comparison with those of the input partial images as well as those obtained with different fusion methods reported in the literature. Keywords: digital image processing, image fusion, infrared imaging, image quality assessment
