On the removal of shadows from images
On the removal of shadows from images
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DOI：
10.1109/tpami.2006.18
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发表时间：
2006-01-01
影响因子：
23.6
通讯作者：
Drew, MS
中科院分区：
文献类型：
--
作者：
Finlayson, GD;Hordley, SD;Drew, MS
本文讨论了一系列无阴影图象表示的推导。首先，我们表明，采用一定的假设，灯光和摄像机导致一个1D，灰度图像表示，这是照明不变的每个图像像素。因此，我们表明，以这种形式表示的图像是没有阴影的。然后，我们将该1D表示扩展到等效的2D色度表示。我们表明，在这个2D表示，它是可能的，以相同的方式重新照亮所有的图像像素，有效地导出一个2D图像表示，这是另外的阴影免费。最后，我们将展示如何恢复一个3D的，全彩色无阴影的图像表示，首先（在2D表示的帮助下）识别阴影边缘。然后，我们从原始图像的边缘图中去除阴影边缘，通过边缘修补，我们提出了一种方法来重新整合这个阈值边缘图，从而得到广受欢迎的3D无阴影图像。
This paper is concerned with the derivation of a progression of shadow-free image representations. First, we show that adopting certain assumptions about lights and cameras leads to a 1D, gray-scale image representation which is illuminant invariant at each image pixel. We show that as a consequence, images represented in this form are shadow-free. We then extend this 1D representation to an equivalent 2D, chromaticity representation. We show that in this 2D representation, it is possible to relight all the image pixels in the same way, effectively deriving a 2D image representation which is additionally shadow-free. Finally, we show how to recover a 3D, full color shadow-free image representation by first ( with the help of the 2D representation) identifying shadow edges. We then remove shadow edges from the edge-map of the original image by edge in-painting and we propose a method to reintegrate this thresholded edge map, thus deriving the sought-after 3D shadow-free image.