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Facial Image Denoising Using Convolutional Autoencoder Network

机译:卷积自动编码器网络的人脸图像去噪

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Noise effects can interfere the face recognition process in outdoor conditions. Therefore, image denoising topic is the classical issue in the field of image processing and computer vision subjects. In this paper, we show that the solution of denoising process using the autoencoder networks based on the ORL face database. The proposed method can support face recognition systems designed for use in an outdoor environment as the preprocessing stage and it can provide the effective results after training process.
机译:噪声影响会干扰户外条件下的人脸识别过程。因此,图像降噪主题是图像处理和计算机视觉学科领域的经典问题。在本文中,我们展示了基于ORL人脸数据库的使用自动编码器网络的去噪处理解决方案。所提出的方法可以支持被设计用于室外环境的面部识别系统作为预处理阶段,并且可以在训练过程之后提供有效的结果。

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