Detecting Reflection from Single Image Based on Nuclear Norm Minimization
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概要
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We propose a reflection detection method, namely, a method to extract edges of reflection, from a single image using a constrained nuclear norm minimization. The proposed method is designed based on a novel observation, which we call the REF-linearity, that differences between neighboring pixels at the boundary of reflections tend to distribute linearly in the RGB space. In the proposed framework, we estimate ideal edges of reflections by promoting the REF-linearity, which is translated into a constrained weighted nuclear norm minimization problem. The problem is solved via the primal-dual splitting method, resulting in an efficient reflection detection from a given image. Illustrative numerical examples are also presented.
- 一般社団法人電子情報通信学会の論文
- 2013-05-09
著者
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Yamada Isao
Departmen Of Communications And Integrated Systems Tokyo Institute Of Technology
-
ONO Shunsuke
Department of Communications and Integrated Systems, Tokyo Institute of Technology
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YAMAGISHI Masao
Department of Communications and Computer Engineering Tokyo Institute of Technology
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TOYOKAWA Katsuhiro
Department of Communications and Computer Engineering Tokyo Institute of Technology
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