A polarization imagery fusion algorithm based on NMF and PCNN

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Introduce a polarization imagery fusion algorithm based on non-negative matrix factorization and pulse coupled neural network. The presented algorithm yields image with much higher quality and preserves more detail information of the objects.

Original languageEnglish
Title of host publicationAdaptive Optics
Subtitle of host publicationMethods, Analysis and Applications, AOPT 2013
PublisherOptical Society of America (OSA)
ISBN (Print)9781557529756
DOIs
StatePublished - 2013
EventAdaptive Optics: Methods, Analysis and Applications, AOPT 2013 - Arlington, VA, United States
Duration: 23 Jun 201327 Jun 2013

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

ConferenceAdaptive Optics: Methods, Analysis and Applications, AOPT 2013
Country/TerritoryUnited States
CityArlington, VA
Period23/06/1327/06/13

Fingerprint

Dive into the research topics of 'A polarization imagery fusion algorithm based on NMF and PCNN'. Together they form a unique fingerprint.

Cite this