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Cite Details

Xiyang Luo and Brendt Wohlberg, "Convolutional Laplacian Sparse Coding", in Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), (Santa Fe, NM, USA), doi:10.1109/SSIAI.2016.7459193, pp. 133--136, Mar 2016

Abstract

We propose to extend the the standard convolutional sparse representation by combining it with a non-local graph Laplacian term. This additional term is chosen to address some of the deficiencies of the l1 norm in regularizing these representations, and is shown to have an advantage in both dictionary learning and an example image reconstruction problem.

BibTeX Entry

@inproceedings{luo-2016-laplacian,
author = {Xiyang Luo and Brendt Wohlberg},
title = {Convolutional Laplacian Sparse Coding},
year = {2016},
month = Mar,
urlpdf = {http://math.lanl.gov/~brendt/Publications/Docs/luo-2016-laplacian.pdf},
booktitle = {Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)},
address = {Santa Fe, NM, USA},
doi = {10.1109/SSIAI.2016.7459193},
pages = {133--136}
}