• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Fakultet for informasjonsteknologi og elektroteknikk (IE)
  • Institutt for informasjonssikkerhet og kommunikasjonsteknologi
  • View Item
  •   Home
  • Fakultet for informasjonsteknologi og elektroteknikk (IE)
  • Institutt for informasjonssikkerhet og kommunikasjonsteknologi
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Predicting the Performance of a Spatial Gamut Mapping Algorithm

Bakke, Arne Magnus; Farup, Ivar; Hardeberg, Jon Yngve
Journal article, Peer reviewed
Thumbnail
View/Open
Predicting the Performance.pdf (324.1Kb)
URI
http://hdl.handle.net/11250/142494
Date
2009
Metadata
Show full item record
Collections
  • Institutt for informasjonssikkerhet og kommunikasjonsteknologi [1947]
Original version
Bakke, A. M., Farup, I., & Hardeberg, J. Y. (2009). Predicting the Performance of a Spatial Gamut Mapping Algorithm. In R. Eschbach, G. G. Marcu, S. Tominaga & A. Rizzi (Eds.), Color imaging XIV displaying, processing, hardcopy, and applications: 20-22 January 2009, San Jose, California, United States (pp. 9). Bellingham, Wash.: SPIE.   http://dx.doi.org/10.1117/12.805852
Abstract
Gamut mapping algorithms are currently being developed to take advantage of the spatial information in an image to improve the utilization of the destination gamut. These algorithms try to preserve the spatial informa- tion between neighboring pixels in the image, such as edges and gradients, without sacrificing global contrast. Experiments have shown that such algorithms can result in significantly improved reproduction of some images compared with non-spatial methods. However, due to the spatial processing of images, they introduce unwanted artifacts when used on certain types of images. In this paper we perform basic image analysis to predict whether a spatial algorithm is likely to perform better or worse than a good, non-spatial algorithm. Our approach starts by detecting the relative amount of areas in the image that are made up of uniformly colored pixels, as well as the amount of areas that contain details in out-of-gamut areas. A weighted difference is computed from these numbers, and we show that the result has a high correlation with the observed performance of the spatial algorithm in a previously conducted psychophysical experiment.
Description
This is the copy of journal's version originally published in Proc. SPIE 7241. Reprinted with permission of SPIE: http://spie.org/x10.xml?WT.svl=tn7
Publisher
Society of Photo Optical Instrumentation Engineers (SPIE)
Series
Proceedings of SPIE;7241

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