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An Imaging Architecture Based on Derivative Estimation Sensors

机译:基于导数估计传感器的成像架构

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摘要

An imaging architecture is proposed, where the first and second derivatives of the image are directly computed from the scene. Such an architecture bypasses the problems of estimating derivatives from sampled and digitised data. It, therefore, allows one to perform more accurate image processing and create more detailed image representations than conventional imaging. This paper examines the feasibility of such an architecture from the hardware point of view.
机译:提出了一种成像架构,其中直接从场景中计算图像的一阶和二阶导数。这样的架构绕过了从采样和数字化数据估计导数的问题。因此,与传统成像相比,它可以执行更精确的图像处理并创建更详细的图像表示。本文从硬件的角度研究了这种架构的可行性。

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