• 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.

Masking in chrominance channels of natural images — Data, analysis, and prediction

Kitanovski, Vlado; Pedersen, Marius
Chapter
Submitted version
Thumbnail
View/Open
Paper_Kitanovski_Final.pdf (7.959Mb)
URI
http://hdl.handle.net/11250/2469830
Date
2017
Metadata
Show full item record
Collections
  • Institutt for datateknologi og informatikk [6323]
  • Publikasjoner fra CRIStin - NTNU [34929]
Original version
10.1109/ISPA.2017.8073583
Abstract
This paper addresses the visual masking that occurs in the chrominance channels of natural images. We present results from a psychophysical experiment designed to obtain local thresholds of just noticeable log-Gabor distortion in the Cr and Cb channels of natural images. We analyzed the data and investigated the correlation between several low-level image features and the collected thresholds. As expected, features like variance, entropy, or edge density were correlated relatively high with the thresholds. We evaluated the performance of linear and non-linear regression (using neural networks and support vector machines) for thresholds prediction from multiple global image features; we also fitted a modified Watson-Solomon's computational model (based on log-Gabor features) for thresholds prediction. The evaluation showed that neural networks and support vector machines are most suitable for thresholds prediction. The computational model performed reasonably well, with further prospects of its improvement.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)

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