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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Vydané v:	Journal of visual communication and image representation Ročník 77; s. 103095
Hlavní autori:	Khatib, Rajaei, Simon, Dror, Elad, Michael
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.05.2021
Predmet:	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
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