Compressive Sensing via Nonlocal Smoothed Rank Function
نویسندگان
چکیده
منابع مشابه
Compressive Sensing via Nonlocal Smoothed Rank Function
Compressive sensing (CS) theory asserts that we can reconstruct signals and images with only a small number of samples or measurements. Recent works exploiting the nonlocal similarity have led to better results in various CS studies. To better exploit the nonlocal similarity, in this paper, we propose a non-convex smoothed rank function based model for CS image reconstruction. We also propose a...
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0167-8655/$ see front matter 2012 Elsevier B.V. A doi:10.1016/j.patrec.2012.02.007 q This work is partially supported by Charles S Research Grant OPA 4818. 1 NICTA is funded by the Australian Government as re of Broadband, Communications and the Digital Econom Council through the ICT Centre of Excellence program. ⇑ Corresponding author. E-mail addresses: [email protected] (J. Gao), q Tiberio.Cae...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0162041