使用反射层图像信息自动反射去除

D. Prakash, Pramati Kalwad, V. Peddigari, P. Srinivasa
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引用次数: 3

摘要

本文试图解决从混合图像中去除不需要的反射层的问题。这些反射可能是由于半反射玻璃介质造成的。这要求将输入图像分为反射层和主题层,也称为背景层,即实际场景本身。但是,将单个输入图像分解为这两层是一个具有无限分解组合的大规模病态问题。这类问题属于盲源分离的范畴。文献中有大量的经典分离方法,这些方法要么需要多个图像,要么需要在用户帮助下对单个图像进行工作。在本文中,我们提出了一种方法,在没有任何用户或人为干预的情况下,使用一些关于反射层的先验信息,从单个输入图像中分离两层。
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Automatic reflection removal using reflective layer image information
This paper tries to address the problem of removing unwanted reflection layer from the image mixtures. These reflections may occur due to semi-reflective glass mediums. This demands separating the input image into the reflecting layer and the subject layer, also known as, background layer which is the actual scene itself. But decomposing a single input image into these two layers is a massively ill-posed problem with infinite combinations of decomposition. This type of problem falls under the category of blind source separation. There are ample classical separation approaches available in the literature which either requires multiple images or works on a single image with user assistance. In this paper we propose a method for separating the two layers from a single input image without any user or human intervention using some prior information about the reflective layer.
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