Compressive Correlation Imaging With Random Illumination
Abstract
Achieving high rates and high resolution in noisy conditions is a main desiderate for computational imaging. Here, we demonstrate both numerically and experimentally that binary illumination based on spatially random distributions provides superior imaging capabilities at high compression ratios while operating in noisy environments. The proposed method permits decreasing the time for image formation without adding complexity to the imaging system or compromising the resolution.
Publication Date
1-1-2015
Publication Title
Optics Letters
Volume
40
Issue
19
Number of Pages
4464-4467
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1364/OL.40.004464
Copyright Status
Unknown
Socpus ID
84963670522 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84963670522
STARS Citation
Akhlaghi, Milad I. and Dogariu, Aristide, "Compressive Correlation Imaging With Random Illumination" (2015). Scopus Export 2015-2019. 877.
https://stars.library.ucf.edu/scopus2015/877