Results
eNauka >
Results >
Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise
Title: | Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise | Authors : | BAJIĆ-PAPUGA, BUDA R. ; Lindblad, Joakim; Sladoje, Nataša | Issue Date: | 2019 | Publication: | Journal of Electronic Imaging | ISSN: | 1017-9909 Journal of Electronic Imaging Search Idenfier | Publisher: | Bellingham, Washington, USA : SPIE - International Society for Optics and Photonics | Type: | Article | Collation: | vol. 28 br. 01 str. 1-1 | DOI: | 10.1117/1.JEI.28.1.013046 | WoS-ID: | 000460119700046 | Scopus-ID: | 2-s2.0-85062632000 | URI: | https://enauka.gov.rs/handle/123456789/414173 | Metadata source: | Migrirano iz RIS podataka | M-category: | 23M23 |
1
SCOPUSTM
SCOPUSTM
Altmetric
Dimensions
Unpaywall
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.