Dynamic fusion of images from the visible and infrared channels of sightseeing system by complex matrix formalism

D. Khaustov, Y. Khaustov, Y. Ryzhov, O. Burashnikov, E. Lychkovskyy, Y. Nastishin
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引用次数: 2

Abstract

The employment of new mathematical and computer approaches for the fusion of target images from the visible and infrared channels of the sightseeing system (SSS) is one of the ways to increase the efficiency of the SSS of armored vehicles. Modern approaches to improving the efficiency of image fusion are aimed to increase the visibility of the target via improving the quality indices of fused images. This paper proposes a fundamentally new approach to image fusion, namely dynamic image fusion, at which the target is observed in the mode of a video clip composed of a sequence of stationary fused images obtained at different parameters of fusion, in contrast to traditional stationary image fusion, at which the decision is made from one fused image. Unlike stationary image fusion, aimed to increase the visibility of the target, the dynamic image fusion allows one to enhance the conspicuity of the target. The principle of dynamic image fusion proposed in this paper is based on matrix formalism, in which the fused image is constructed in the form of a complex vector function, which by its mathematical form is analogous to the Jones vector of elliptically polarized light wave, which in turn opens the possibility of matrix transformation of the complex vector of the fused image and consequently its parameterization by analogy with the Jones matrix formalism for the light wave. The article presents mathematical principles of matrix formalism, which is the basis for dynamic image fusion, gives examples of stationary and dynamic image fusion by the method of complex vector function and compares with the corresponding images, fused by algorithms of weight addition in the field of real and complex scalars. It is shown that by selecting weight coefficients, the general form of a complex amplitude vector image can be reduced to the algorithms of weight and averaged addition in the field of real scalars, weight amplitude and RMS-image in the field of complex scalar numbers, and geometric-mean image in the field of complex vectors, which, thereby, are partial cases of the general form of the complex amplitude image in the field of complex vectors. The animated images obtained by the method of complex vector function illustrate the increase of conspicuity of the object of observation due to the dynamic change of the fusion parameters.
利用复矩阵形式对观光系统可见光和红外通道图像进行动态融合
采用新的数学和计算机方法对装甲车观光系统的可见光和红外通道目标图像进行融合,是提高装甲车辆观光系统效率的途径之一。现代提高图像融合效率的方法都是通过提高融合图像的质量指标来提高目标的可见性。本文提出了一种全新的图像融合方法,即动态图像融合,即在由不同融合参数下获得的一系列静止融合图像组成的视频片段模式下观察目标,而不是传统的静止图像融合从一个融合图像中做出决定。与静态图像融合不同,动态图像融合的目的是增加目标的可见性,而动态图像融合的目的是增强目标的显著性。动态图像融合的原理提出了基于矩阵形式,融合图像的构造复杂的向量函数的形式,通过其数学形式类似于椭圆偏振光的琼斯矢量波,进而打开的可能性矩阵转换的复杂向量融合图像,因此其参数化的类比与光波的琼斯矩阵形式。本文介绍了动态图像融合的基础——矩阵形式化的数学原理,给出了用复向量函数方法进行静态和动态图像融合的实例,并与用实标量和复标量的权值加法算法进行融合的图像进行了比较。结果表明,通过选择权系数,复振幅矢量图像的一般形式可以简化为实标量域中的权和平均加法算法、复标量域中的权振幅和rms图像算法、复向量域中的几何平均图像算法,从而成为复向量域中复振幅矢量图像一般形式的部分情况。采用复向量函数方法得到的动画图像表明,由于融合参数的动态变化,观察对象的显著性增加。
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