Specular removal of monochrome image using polarization and deep learning

D. Miyazaki, Naoto Yoshimoto
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Abstract

We have proposed a method to remove specular reflection from a single polarization image. Most existing methods use color information for specular removal, however, those methods can neither be applied to monochrome images nor achromatic objects. To overcome this problem, we use polarization for specular removal. Most methods not only use polarization camera but also use polarized light, while we use polarization camera and unpolarized light. In addition to polarization, we also use a deep neural network to stably remove specular reflection in a grayscale image.
使用偏振和深度学习的单色图像的镜面去除
我们提出了一种从单幅偏振图像中去除镜面反射的方法。现有的方法大多使用颜色信息进行镜面去除,但这些方法既不能用于单色图像,也不能用于消色差物体。为了克服这个问题,我们使用偏振来去除镜面。大多数方法不仅使用偏振光,而且还使用偏振光,而我们使用偏振光和非偏振光。除了偏振,我们还使用深度神经网络来稳定地去除灰度图像中的镜面反射。
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