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2004
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Separating Reflections from a Single Image Using Local Features

9 years 10 months ago
Separating Reflections from a Single Image Using Local Features
When we take a picture through a window the image we obtain is often a linear superposition of two images: the image of the scene beyond the window plus the image of the scene reflected by the window. Decomposing the single input image into two images is a massively ill-posed problem: in the absence of additional knowledge about the scene being viewed there is an infinite number of valid decompositions. In this paper we describe an algorithm that uses an extremely simple form of prior knowledge to perform the decomposition. Given a single image as input, the algorithm searches for a decomposition into two images that minimize the total amount of edges and corners. The search is performed using belief propagation on a patch representation of the image. We show that this simple prior is surprisingly powerful: our algorithm obtains "correct" separations on challenging reflection scenes using only a single image.
Anat Levin, Assaf Zomet, Yair Weiss
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2004
Where CVPR
Authors Anat Levin, Assaf Zomet, Yair Weiss
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