X-ray image separation via coupled dictionary learning

Nikos Deligiannis, Joao F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
2016 2016 IEEE International Conference on Image Processing (ICIP)  
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
more » ... tal results demonstrate that our method succeeds in the discrimination of the sources, while state-of-the-art methods fail to do so.
doi:10.1109/icip.2016.7533017 dblp:conf/icip/DeligiannisMCRD16 fatcat:tralnzyaofephpoaihkm2wh6oy