# zbMATH — the first resource for mathematics

Removing cradle artifacts in X-ray images of paintings. (English) Zbl 1381.94030
##### MSC:
 94A08 Image processing (compression, reconstruction, etc.) in information and communication theory 68U10 Computing methodologies for image processing 00A66 Mathematics and visual arts
##### Keywords:
art investigation; texture separation; cradle removal
DT-CWT
Full Text:
##### References:
 [1] S. Bergeon, G. Emile-Mâle, C. Huot, and O. Baÿ, The restoration of wooden painting support: Two hundred years of history in france, in The Structural Conservation of Panel Paintings, Getty Conservation Institute, Los Angeles, 1998, pp. 264–288. [2] A. Bhattacharya and D. B. Dunson, Sparse Bayesian infinite factor models, Biometrika, 98 (2011), pp. 291–306. · Zbl 1215.62025 [3] J. Bobin, J. L. Starck, J. M. Fadili, Y. Moudden, and D. L. Donoho, Morphological component analysis: An adaptive thresholding strategy, IEEE Trans. Image Process., 16 (2007), pp. 2675–2681. · Zbl 1288.94009 [4] E. J. Candes and D. L. Donoho, New tight frames of curvelets and optimal representations of objects with piecewise $$c2$$ singularities, Comm. Pure Appl. Math., 57 (2004), pp. 219–266. · Zbl 1038.94502 [5] I. A. Carreras, C. O. S. Sorzano, R. Marabini, J. M. Carazo, C. O. de Solorzano, and J. Kybic, Consistent and elastic registration of histological sections using vector-spline regularization, in Computer Vision Approaches to Medical Image Analysis, Lecture Notes in Comput. Sci. 4241, Springer, Berlin, 2006, pp. 85–95. [6] B. Cornelis, A. Dooms, J. Cornelis, and P. Schelkens, Digital canvas removal in paintings, Signal Process., 92 (2012), pp. 1166–1171. [7] B. Cornelis, T. Ružić, E. Gezels, A. Dooms, A. Pižurica, L. PlatišA, J. Cornelis, M. Martens, M. De Mey, and I. Daubechies, Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent altarpiece, Signal Process., 93 (2012), pp. 605–619. [8] B. Cornelis, H. Yang, A. Goodfriend, N. Ocon, J. Lu, and I. Daubechies, Removal of canvas patterns in digital acquisitions of paintings, IEEE Trans. Image Process., to appear. · Zbl 1409.94095 [9] B. Cornelis, Y. Yang, J. T. Vogelstein, A. Dooms, I. Daubechies, and D. Dunson, Bayesian crack detection in ultra high resolution multimodal images of paintings, in Proceedings of the 18th International Conference on Digital Signal Processing (DSP 2013), Santorini, Greece, IEEE, Piscataway, NJ, 2014. [10] J. Cupitt and K. Martinez, VIPS: An image processing system for large images, in Electronic Imaging: Science & Technology, SPIE, Bellingham, WA, 1996, pp. 19–28. [11] S. R. Deans, Hough transform from the radon transform, IEEE Trans. Pattern Anal. Mach. Intell., PAMI-3 (1981), pp. 185–188. [12] G. Fodor, B. Cornelis, R. Yin, A. Dooms, and I. Daubechies, Cradle removal in x-ray images of panel paintings, Image Processing On Line, to appear. [13] C. R. Johnson, E. Hendriks, I. J. Berezhnoy, E. Brevdo, S. M. Hughes, I. Daubechies, J. Li, E. Postma, and J. Z. Wang, Image processing for artist identification, IEEE Signal Process. Mag., 25 (2008), pp. 37–48. [14] N. G. Kingsbury, The dual-tree complex wavelet transform: A new technique for shift invariance and directional filters, in Proceedings of the 8th IEEE DSP Workshop, Vol. 8, Casual, 1998, p. 86. [15] J. Padfield, D. Saunderd, J. Cupitt, and R. Atkinson, Technical Bulletin: Improvements in the Acquisition and Processing of X-Ray Images of Paintings, Technical report 23, The National Gallery, London, UK, 2002. [16] A. Rothe, A critical history of panel painting restoration in Italy, in The Structural Conservation of Panel Paintings, Getty Conservation Institute, Los Angeles, 1998, pp. 188–199. [17] R. Yin, D. Dunson, B. Cornelis, B. Brown, N. Ocon, and I. Daubechies, Digital cradle removal in x-ray images of art paintings, in 2014 IEEE International Conference on Image Processing (ICIP), IEEE, Piscataway, NJ, pp. 4299–4303.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.