Super-Resolution Restoration of MMW Image Using Sparse Representation Based on Couple Dictionaries

Author:

Shang Li,Zhou Yan,Tao Liu,Sun Zhan-li

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Matthias, H., Christoph, S.: Learning Sparse Representations by Non-negative matrix Factorization and Sequential Come Programming. Journal of Machine Learning Research 7, 1385–1407 (2006)

2. Yang, J.C., Wright, J., Huang, T., et al.: Image Super-resolution Via Sparse Representation. IEEE Transactions on Image Processing 19, 2861–2873 (2010)

3. Rubinstein, R., Bruckstein, A.M., Elad, M., et al.: Dictionaries for Sparse Representation Modeling. IEEE Proceedings-Special Issue on Applications of Sparse Representation & Compressive Sensing 98, 1045–1057 (2010)

4. Sundareshan, M.K., Bhattacharjee, S.: Superresolution of Passive Millimeter-Wave Im-ages Using a Combined Maximum-likelihood Optimization and Projection-onto-convex-sets Approach. In: Proc. of SPIE Conf. on Passive Millimeter-wave Imaging Technology, Acrosense 2001, Orlando, FL., USA, vol. 4373, pp. 105–116 (2001)

5. Li, S.Z.: MAP Image Restoration and Segmentation by Constrained Optimization. IEEE Transactions on Image Processing 7, 1730–1735 (2002)

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