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Digital Decoding Design for Phase Coded Imaging System

机译:相位编码成像系统的数字解码设计

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This paper develops a digital decoding design for the imaging system with phase coded lens. The phase coded lens is employed to extend the depth of filed (DoF), and the proposed design is used to restore the special-purpose blur caused by the lens. Since in practice the imaging system inevitably contains manufacturing inaccuracy, it is often difficult to obtain precise point spread function (PSF) for image restoration. To deal with this problem, we develop a flow for designing filters without PSF information. The imaging system first takes a shot of a well-designed test chart to have a blur image of the chart. This blur image is then corrected by using the perspective transformation. We use both of the image of the test chart and the corrected blur image to calculate a minimum mean square error (MMSE) filter, so that the blur image processed by the filter can be very alike to the test chart image. The filter is applied to other images captured by the imaging system in order to verify its effectiveness in reducing the blur and for showing the capability of extending the DoF of the integrated system.
机译:本文为具有相位编码镜头的成像系统开发了一种数字解码设计。使用相位编码透镜来扩展场(DoF)的深度,并且所提出的设计用于恢复由透镜引起的专用模糊。由于实际上成像系统不可避免地包含制造误差,因此通常很难获得用于图像恢复的精确点扩散函数(PSF)。为了解决这个问题,我们开发了一个流程来设计没有PSF信息的过滤器。成像系统首先拍摄精心设计的测试图,以使测试图具有模糊图像。然后,通过使用透视变换来校正该模糊图像。我们使用测试图的图像和校正后的模糊图像两者来计算最小均方误差(MMSE)滤波器,以便由滤波器处理的模糊图像可以与测试图图像非常相似。该滤镜应用于成像系统捕获的其他图像,以验证其在减少模糊方面的有效性以及显示扩展集成系统DoF的能力。

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