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Optical implementation of a convolution kernel by using a joint transform correlator to perform image processing operation

机译:通过使用关节变换相关器进行卷积内核的光学实现,以执行图像处理操作

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In this work we propose a generalization of the convolution kernel capable of realizing image processing operations as edge enhancement, phase visualization, image restoration, by using a joint transform correlator. The proposal convolution kernel is designed according to the operation to be performed. We present numerical simulations for each convolution kernel which performs the corresponding operation. On the other hand, experimental results are presented from the optical implementation of the convolution kernel by using a joint transform correlator which has the advantage of avoiding alignment difficulties presented by classical Fourier processors.
机译:在这项工作中,我们通过使用关节变换相关器,提出能够实现作为边缘增强,相位可视化,图像恢复的图像处理操作的卷积核的概括。提案卷积内核根据要执行的操作设计。对于执行相应操作的每个卷积内核,我们呈现数值模拟。另一方面,通过使用关节变换相关器,从卷积核的光学实现中提出了实验结果,该相关性具有避免了经典傅里叶处理器呈现的对准困难的优点。

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