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X-Ray Image Separation via Coupled Dictionary Learning

De Castro Mota, JF; Deligiannis, N; Cornelis, B; Rodrigues, M; Daubechies, I; (2016) X-Ray Image Separation via Coupled Dictionary Learning. In: 2016 IEEE International Conference on Image Processing. (pp. pp. 3533-3537). IEEE: Phoenix, AZ, USA. Green open access

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Abstract

In support of art investigation, we propose a new source sepa- ration method that unmixes a single X-ray scan acquired from double-sided paintings. Unlike prior source separation meth- ods, 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

Type: Proceedings paper
Title: X-Ray Image Separation via Coupled Dictionary Learning
Event: IEEE International Conference on Image Processing (ICIP)
ISBN-13: 978-1-4673-9961-6
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICIP.2016.7533017
Publisher version: http://dx.doi.org/10.1109/ICIP.2016.7533017
Language: English
Additional information: Copyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Art; Dictionaries; Matching pursuit algorithms; Painting; Source separation; Visualization; X-ray imaging; Image separation; dictionary learning; image decomposition; multi-modal imaging; side information
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1529227
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