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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2013 - 14

Combined Sparsifying Transforms for Compressive Image Fusion

WU, C. See more information about WU, C. on SCOPUS See more information about WU, C. on IEEExplore See more information about WU, C. on Web of Science, WANG, H. See more information about  WANG, H. on SCOPUS See more information about  WANG, H. on SCOPUS See more information about WANG, H. on Web of Science, XU, X. See more information about  XU, X. on SCOPUS See more information about  XU, X. on SCOPUS See more information about XU, X. on Web of Science, ZHAO, L. See more information about ZHAO, L. on SCOPUS See more information about ZHAO, L. on SCOPUS See more information about ZHAO, L. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (821 KB) | Citation | Downloads: 373 | Views: 2,506

Author keywords
compressive sensing, combined sparsifying transforms, image fusion

References keywords
processing(14), image(13), sensing(11), signal(8), fusion(8), sparse(6), information(5), imaging(4), icip(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-11-30
Volume 13, Issue 4, Year 2013, On page(s): 79 - 84
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.04014
Web of Science Accession Number: 000331461300014
SCOPUS ID: 84890250999

Abstract
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In this paper, we present a new compressive image fusion method based on combined sparsifying transforms. First, the framework of compressive image fusion is introduced briefly. Then, combined sparsifying transforms are presented to enhance the sparsity of images. Finally, a reconstruction algorithm based on the nonlinear conjugate gradient is presented to get the fused image. The simulations demonstrate that by using the combined sparsifying transforms better results can be achieved in terms of both the subjective visual effect and the objective evaluation indexes than using only a single sparsifying transform for compressive image fusion.


References | Cited By  «-- Click to see who has cited this paper

[1] E. J. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Transactions on Information Theory, vol. 52, no. 2, pp. 489-509, 2006.
[CrossRef] [Web of Science Times Cited 8994]


[2] D. L. Donoho, "Compressed Sensing," IEEE Transactions on Information Theory, vol. 52, no. 4, pp. 1289-1306, 2006.
[CrossRef] [Web of Science Times Cited 15139]


[3] M. B. Wakin, J. N. Laska, M. F. Duarte, et al. "An architecture for compressive imaging," IEEE International Conference on Image Processing, pp.1273-1276, 2006.
[CrossRef] [Web of Science Times Cited 153]


[4] M. F. Duarte, M. A. Davenport, D. Takhar, et al. "Single-pixel imaging via compressive sampling," IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 83-91, 2008.
[CrossRef] [Web of Science Times Cited 1689]


[5] D. Giacobello, M. G. Christensen, M. N. Murthi, S. H. Jensen, and M. Moonen, "Retrieving Sparse Patterns Using a Compressed Sensing Framework: Applications to Speech Coding Based on Sparse Linear Prediction," IEEE Signal Processing Letters, vol. 17, no. 1, pp. 103-106, 2010.
[CrossRef] [Web of Science Times Cited 41]


[6] D. Giacobello, M. G. Christensen, M. N. Murthi, S. H. Jensen, and M. Moonen, "Sparse linear prediction and its applications to speech processing," IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no. 5, pp. 1644-1657, 2012.
[CrossRef] [Web of Science Times Cited 81]


[7] M. Fira, L. Goras, C. Barabasa, and N. Cleju, "On ECG Compressed Sensing using Specific Overcomplete Dictionaries," Advances in Electrical and Computer Engineering, vol. 10, no. 4, pp. 23-28, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 19]


[8] M. Fira, L. Goras, "A New Method for EEG Compressive Sensing," Advances in Electrical and Computer Engineering, vol. 12, no. 4, pp. 71-76, 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 3]


[9] J. Romberg, "Imaging via compressive sampling," IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 14-20, 2008.
[CrossRef] [Web of Science Times Cited 595]


[10] T. Wan, N. Canagarajah, and A. Achim, "Compressive image fusion," IEEE International Conference on Image Processing, pp. 1308-1311, 2008.
[CrossRef] [Web of Science Times Cited 45]


[11] T. Wan, Z. C. Qin, "An application of compressive sensing for image fusion," International Journal of Computer Mathematics, vol. 88, no. 18, pp. 3915-3930, 2011.
[CrossRef] [Web of Science Times Cited 30]


[12] X. Li, S. Y. Qin, "Efficient fusion for infrared and visible images based on compressive sensing principle," IET Image Processing, vol. 5, no. 2, pp. 141-147, 2011.
[CrossRef] [Web of Science Times Cited 53]


[13] X. Y. Luo, J. Zhang, J. Y. Yang, and Q. H. Dai, "Image fusion in compressed sensing," IEEE International Conference on Image Processing, pp. 2205-2208, 2009.
[CrossRef]


[14] X. Qu, X. Cao, D. Guo, C. Hu, and Z. Chen, "Combined sparsifying transforms for compressed sensing MRI," Electronics Letters, vol. 46, no. 2, pp. 121-123, 2010.
[CrossRef] [Web of Science Times Cited 38]


[15] M. A. T. Figueiredo, R. D. Nowak, and S. J. Wright, "Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems," IEEE Journal of Selected Topics in Signal Processing, vol. 1, no. 4, pp. 586-597, 2007.
[CrossRef] [Web of Science Times Cited 1903]


[16] M. N. Do, M. Vetterli, "The contourlet transform: an efficient directional multiresolution image representation," IEEE Transactions on Image Processing, vol. 14, no. 12, pp. 1629-1632, 2005.
[CrossRef] [Web of Science Times Cited 2329]


[17] Y. Lu, M. N. Do, "A new contourlet transform with sharp frequency localization," IEEE International Conference on Image Processing, pp. 1629-1632, 2006.
[CrossRef] [Web of Science Times Cited 72]


[18] Q. Zhang, B. L. Guo, "Multifocus image fusion using the nonsubsampled contourlet transform," Signal Processing, vol. 89, no. 7, pp. 1334-1346, 2009.
[CrossRef] [Web of Science Times Cited 388]


[19] M. Lustig, D. Donoho, and J. M. Pauly, "Sparse MRI: the application of compressed sensing for rapid MR Imaging," Magnetic Resonance in Medicines, vol. 58, no. 10, pp. 1182-1195, 2007.
[CrossRef] [Web of Science Times Cited 3538]


[20] M. Lustig, D. L. Donoho, J. M. Santos, and J. M. Pauly, "Compressed sensing MRI," IEEE Signal Magazine, vol. 25, no. 2, pp. 72-82, 2008.
[CrossRef] [Web of Science Times Cited 967]


[21] W. W. Hager, H. Zhang. "A survey of nonlinear conjugate gradient methods," Pacific journal of Optimization, vol. 2, no. 1, pp. 35-58, 2006.

[22] G. H. Qu, D. L. Zhang, and P. F. Yan, "Information measure for performance of image fusion," Electronics Letters, vol. 38, no. 7, pp. 313-315, 2002.
[CrossRef] [Web of Science Times Cited 585]


[23] V. Petrovic, C. Xydeas, "On the effects of sensor noise in pixel-level image fusion performance," Proceedings of the Third International Conference on Information Fusion, vol. 2, pp. 14-19, 2010.
[CrossRef]


[24] M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation," IEEE Transactions on Signal Processing, vol. 54, no. 11, pp. 4311-4322, 2006.
[CrossRef]




References Weight

Web of Science® Citations for all references: 36,662 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 1,466 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-02-27 09:19 in 136 seconds.




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