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X-ray image separation via coupled dictionary learning Host Publication: IEEE International Conference on Image Processing (ICIP), 2016 Authors: N. Deligiannis, J. Mota, B. Cornelis, M. Rodrigues and I. Daubechies Publisher: IEEE Publication Year: 2016 Number of Pages: 5
Abstract: n support of art investigation, we propose a new source separation method that unmixes a single X-ray scan acquired from double-sided paintings. Unlike prior source separation methods, which are based on statistical or structural incoherence of the sources, we use visual images taken from the front- and back-side of the panel to drive the separation process. The coupling of the two imaging modalities is achieved via a new multi-scale dictionary learning method. Experimental results demonstrate that our method succeeds in the discrimination of the sources, while state-of-the-art methods fail to do so.
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