• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

N-LMMSE Demosaicing for Spectral Filter Arrays

Amba, Prakhar; Thomas, Jean-Baptiste; Alleysson, David
Journal article, Peer reviewed
Published version
Thumbnail
View/Open
JIST2017Published.pdf (Locked)
URI
http://hdl.handle.net/11250/2457175
Date
2017
Metadata
Show full item record
Collections
  • Institutt for datateknologi og informatikk [3872]
  • Publikasjoner fra CRIStin - NTNU [20889]
Original version
http://dx.doi.org/10.2352/J.ImagingSci.Technol.2017.61.4.040407
Abstract
Spectral filter array (SFA) technology requires development on demosaicing. The authors extend the linear minimum mean square error with neighborhood method to the spectral dimension. They demonstrate that the method is fast and general on Raw SFA images that span the visible and near infra-red part of the electromagnetic range. The method is quantitatively evaluated in simulation first, then the authors evaluate it on real data by the use of non-reference image quality metrics applied on each band. Resulting images show a much better reconstruction of text and high frequencies at the expense of a zipping effect, compared to the benchmark binary-tree method.
Publisher
Journal of Imaging Science and Technology
Journal
Society for Imaging Science and Technology

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit