Optimal sparse representations for blind deconvolution of images
Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YY. 2004. Optimal sparse representations for blind deconvolution of images. 5th International Conference on Independent Component Analysis and Blind Signal Separation. ICA: Independent Component Analysis and Blind Signal Separation, LNCS, vol. 3195, 500–507.
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Conference Paper
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Author
Bronstein, Alex M.ISTA 
;
Bronstein, Michael M.;
Zibulevsky, Michael;
Zeevi, Yehoshua Y.
;
Bronstein, Michael M.;
Zibulevsky, Michael;
Zeevi, Yehoshua Y.Series Title
LNCS
Abstract
The relative Newton algorithm, previously proposed for quasi maximum likelihood blind source separation and blind deconvolution of one-dimensional signals is generalized for blind deconvolution of images. Smooth approximation of the absolute value is used in modelling the log probability density function, which is suitable for sparse sources. We propose a method of sparsification, which allows blind deconvolution of sources with arbitrary distribution, and show how to find optimal sparsifying transformations by training.
Publishing Year
Date Published
2004-10-27
Proceedings Title
5th International Conference on Independent Component Analysis and Blind Signal Separation
Publisher
Springer Nature
Volume
3195
Page
500-507
Conference
ICA: Independent Component Analysis and Blind Signal Separation
Conference Location
Granada, Spain
Conference Date
2004-09-22 – 2004-09-24
ISBN
ISSN
eISSN
IST-REx-ID
Cite this
Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YY. Optimal sparse representations for blind deconvolution of images. In: 5th International Conference on Independent Component Analysis and Blind Signal Separation. Vol 3195. Springer Nature; 2004:500-507. doi:10.1007/978-3-540-30110-3_64
Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., & Zeevi, Y. Y. (2004). Optimal sparse representations for blind deconvolution of images. In 5th International Conference on Independent Component Analysis and Blind Signal Separation (Vol. 3195, pp. 500–507). Granada, Spain: Springer Nature. https://doi.org/10.1007/978-3-540-30110-3_64
Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “Optimal Sparse Representations for Blind Deconvolution of Images.” In 5th International Conference on Independent Component Analysis and Blind Signal Separation, 3195:500–507. Springer Nature, 2004. https://doi.org/10.1007/978-3-540-30110-3_64.
A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal sparse representations for blind deconvolution of images,” in 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, 2004, vol. 3195, pp. 500–507.
Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YY. 2004. Optimal sparse representations for blind deconvolution of images. 5th International Conference on Independent Component Analysis and Blind Signal Separation. ICA: Independent Component Analysis and Blind Signal Separation, LNCS, vol. 3195, 500–507.
Bronstein, Alex M., et al. “Optimal Sparse Representations for Blind Deconvolution of Images.” 5th International Conference on Independent Component Analysis and Blind Signal Separation, vol. 3195, Springer Nature, 2004, pp. 500–07, doi:10.1007/978-3-540-30110-3_64.
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