Javascript verkar inte påslaget? - Vissa delar av Lunds universitets webbplats fungerar inte optimalt utan javascript, kontrollera din webbläsares inställningar.
Du är här

Biologically inspired enhancement of dim light video

  • Friedrich G. Barth
  • Joseph A. C. Humphrey
  • Mandyam V. Srinivasan
Publiceringsår: 2011
Språk: Engelska
Publikation/Tidskrift/Serie: Frontiers in Sensing: From Biology to Engineering
Dokumenttyp: Del av eller Kapitel i bok
Förlag: Springer


The present work has been inspired by research on vision in nocturnal animals, particularly the spatial and temporal visual summation that allows these animals to see in dim light. A general methodology for noise reduction and contrast enhancement in very noisy image data with low dynamic range is presented. Video footage recorded in very dim light is especially targeted. Smoothing kernels that automatically adapt to the local spatio-temporal intensity structure in the image sequences are constructed in order to preserve and enhance fine spatial detail and prevent motion blur. The method is very general, contains few user-defined parameters and has been developed for efficient parallel computation using a GPU. The technique has been applied to image sequences with various degrees of darkness and noise levels, and results from some of these tests, and comparisons to other methods, are presented.



  • Biological Sciences
  • Computer Vision and Robotics (Autonomous Systems)
  • Mathematics


  • ISBN: 978-3-211-99748-2

Box 117, 221 00 LUND
Telefon 046-222 00 00 (växel)
Telefax 046-222 47 20
lu [at] lu [dot] se

Fakturaadress: Box 188, 221 00 LUND
Organisationsnummer: 202100-3211
Om webbplatsen