Super-Resolution via Sparse Representation for Low-dose X-ray Photography-Reference-Cited by-同舟云学术

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Super-Resolution via Sparse Representation for Low-dose X-ray Photography

Published:2016-08-01 Issue:3 Volume:88 Page:287-295
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Chen Ying,Hou Chunping,Zhou Yuan,Lu Shan,Pang Bo

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s11265-016-1163-0/fulltext.html

Reference24 articles.

1. Acciavatti, R.J., & Maidment, A.D. (2012). Observation of super-resolution in digital breast tomosynthesis. Medical Physics, 39(12), 7518–7539. doi: 10.1118/1.4757583 .

2. Aharon, M., Elad, M., & Bruckstein, A. (2006). K-svd: An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Transactions ON Signal Processing, 54 (11), 4311. doi: 10.1109/TSP.2006.881199 .

3. Chang, G., Pan, T., Clark Jr, J.W., & Mawlawi, O.R. (2008). Optimization of super-resolution processing using incomplete image sets in pet imaging. Medical Physics, 35(12), 5748–5757. doi: 10.1118/1.3021117 .

4. Chang, H., Yeung, D.Y., & Xiong, Y. (2004). Super-resolution through neighbor embedding. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 1–8. doi: 10.1109/CVPR.2004.1315043 .

5. Chantas, G.K., Galatsanos, N.P., & Woods, N.A. (2007). Super-resolution based on fast registration and maximum a posteriori reconstruction. IEEE Transactions on Image Processing, 16 (7), 1821–1830. doi: 10.1109/TIP.2007.896664 .

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