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Pixel-level Image Reconstruction Method of Polarization Images Acquired by Multi-aperture Imaging Systems

机译:多孔径成像系统获取偏振图像的像素级图像重建方法

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To acquire high-resolution IR polarization images, a pixel-level image reconstruction method was introduced. It was aimed at IR polarization imaging systems employing multi-aperture principle. The geometric mapping relation between images was firstly studied and was basis of this method. Parameters of the mapping relation were calculated, and then pixels of each image obtained were mapped to a virtual digital plane at which precise and resolution enhanced polarization images could be obtained by taking advantage of the pixel deviation and rearranging the pixels. Experimental results demonstrated that the algorithm could assist the multi-aperture imaging system in rendering easily precise and high-resolution polarization images.
机译:为了获取高分辨率的红外偏振图像,介绍了一种像素级图像重建方法。它针对采用多孔径原理的红外偏振成像系统。首先研究了图像之间的几何映射关系,并以此为基础。计算映射关系的参数,然后将获得的每个图像的像素映射到虚拟数字平面,在该平面上可以利用像素偏移并重新排列像素来获得精确和分辨率增强的偏振图像。实验结果表明,该算法可以帮助多孔径成像系统轻松绘制精确,高分辨率的偏振图像。

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