Learned Greedy Method (LGM): A novel neural architecture for sparse coding and beyond

The fields of signal and image processing have been deeply influenced by the introduction of deep neural networks. Despite their impressive success, the architectures used in these solutions come with no clear justification, being “black box” machines that lack interpretability. A constructive remed...

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Veröffentlicht in:	Journal of visual communication and image representation Jg. 77; S. 103095
Hauptverfasser:	Khatib, Rajaei, Simon, Dror, Elad, Michael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.05.2021
Schlagworte:	Denoising Deraining Interpretable image processing architectures Orthogonal Matching Pursuit Sparse representation Unfolding pursuit algorithms Unfolding pursuit algorithms Interpretable image processing architectures Sparse representation Orthogonal Matching Pursuit Deraining Denoising
ISSN:	1047-3203, 1095-9076
Online-Zugang:	Volltext
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