Concatenated image completion via tensor augmentation and completion

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Bengua, Johann A.; Tuan, Hoang D.; Phien, Ho N.; Do, Minh N.;
(2016)
  • Subject: Computer Science - Computer Vision and Pattern Recognition | Computer Science - Data Structures and Algorithms | Computer Science - Learning
    acm: ComputingMethodologies_COMPUTERGRAPHICS | MathematicsofComputing_NUMERICALANALYSIS | ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION

This paper proposes a novel framework called concatenated image completion via tensor augmentation and completion (ICTAC), which recovers missing entries of color images with high accuracy. Typical images are second- or third-order tensors (2D/3D) depending if they are ... View more
  • References (19)
    19 references, page 1 of 2

    [1] E. Candès and B. Recht, “Exact matrix completion via convex optimization,” Found. Comput. Math., vol. 9, no. 6, pp. 717-772, 2009.

    [2] Z. Wen, W. Yin, and Y. Zhang, “Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm,” Mathematical Programming Computation, vol. 4, no. 4, pp. 333-361, 2012.

    [3] J.-F. Cai, E. J. Candès, and Z. Shen, “A singular value thresholding algorithm for matrix completion,” SIAM Journal on Optimization, vol. 20, no. 4, pp. 1956-1982, 2010.

    [4] Y. Chen and Y. Chi, “Robust spectral compressed sensing via structured matrix completion,” IEEE Transactions on Information Theory, vol. 60, no. 10, pp. 6576-6601, Oct 2014.

    [5] P. J. Shin, P. E. Z. Larson, M. A. Ohliger, M. Elad, J. M. Pauly, D. B. Vigneron, and M. Lustig, “Calibrationless parallel imaging reconstruction based on structured low-rank matrix completion,” Magnetic Resonance in Medicine, vol. 72, no. 4, pp. 959-970, 2014.

    [6] A. Kapur, K. Marwah, and G. Alterovitz, “Gene expression prediction using low-rank matrix completion,” BMC Bioinformatics, vol. 17, no. 1, pp. 1-13, 2016.

    [7] Y. Luo, T. Liu, D. Tao, and C. Xu, “Multiview matrix completion for multilabel image classification,” IEEE Transactions on Image Processing, vol. 24, no. 8, pp. 2355-2368, Aug 2015.

    [8] T. G. Kolda and B. W. Bader, “Tensor decompositions and applications,” SIAM Review, vol. 51, no. 3, pp. 455-500, 2009.

    [9] M. Vasilescu and D. Terzopoulos, “Multilinear subspace analysis of image ensembles,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, June 2003, pp. 93-99.

    [10] J.-T. Sun, H.-J. Zeng, H. Liu, Y. Lu, and Z. Chen, “Cubesvd: A novel approach to personalized web search,” in Proc. 14th Int'l World Wide Web Conf. (WWW ', 05), 2005, pp. 382-390.

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