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Super-resolution reconstruction algorithm using vibro-imaging and correlation image sensor

机译:利用振动成像和相关图像传感器的超分辨率重建算法

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In this paper, we propose a novel super-resolving imaging scheme using vibratory optics and correlation image sensor. Human eyes always vibrate slightly during fixation (visual gaze on an identical point), which is called involuntary eye movements and is considered to play an important role in visual perception. Mimicking this phenomenon, our vibro-imaging system makes an image vibrate in a circular locus using a biaxial vibration mirror in front of the lens. As a result, the information about spatial intensity distribution around each pixel is modulated into the time-varying incident light on the pixel. A correlation image sensor (CIS) demodulates it using reference signals synchronized with the image vibration. This system enables us to obtain three images (intensity image and complex correlation image) with three different spatial frequency characteristics. From them, we show the frequency components over Nyquist frequency can be restored using only a single frame. Several numerical simulations and experimental results display the effectiveness of the scheme.
机译:在本文中,我们提出了一种使用振动光学和相关图像传感器的新型超分辨成像方案。人眼在注视过程中总是轻微振动(在同一点上注视),这称为非自愿眼动,被认为在视觉感知中起重要作用。模仿这种现象,我们的振动成像系统使用镜头前的双轴振动镜使图像在圆形轨迹中振动。结果,关于每个像素周围的空间强度分布的信息被调制为像素上随时间变化的入射光。相关图像传感器(CIS)使用与图像振动同步的参考信号对其进行解调。该系统使我们能够获得具有三个不同空间频率特性的三个图像(强度图像和复相关图像)。从中我们可以看出,仅使用一个帧就可以恢复奈奎斯特频率上的频率分量。若干数值模拟和实验结果证明了该方案的有效性。

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