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dc.contributor.authorMusialski, Przemyslaw
dc.contributor.authorCui, Ming
dc.contributor.authorYe, Jieping
dc.contributor.authorRazdan, Anshuman
dc.contributor.authorWonka, Peter
dc.date.accessioned2015-08-03T10:37:06Z
dc.date.available2015-08-03T10:37:06Z
dc.date.issued2012-11-09
dc.identifier.citationMusialski P, Cui M, Ye J, Razdan A, Wonka P (2012) A framework for interactive image color editing. The Visual Computer 29: 1173–1186. Available: http://dx.doi.org/10.1007/s00371-012-0761-5.
dc.identifier.issn0178-2789
dc.identifier.issn1432-2315
dc.identifier.doi10.1007/s00371-012-0761-5
dc.identifier.urihttp://hdl.handle.net/10754/562407
dc.description.abstractWe propose a new method for interactive image color replacement that creates smooth and naturally looking results with minimal user interaction. Our system expects as input a source image and rawly scribbled target color values and generates high quality results in interactive rates. To achieve this goal we introduce an algorithm that preserves pairwise distances of the signatures in the original image and simultaneously maps the color to the user defined target values. We propose efficient sub-sampling in order to reduce the computational load and adapt semi-supervised locally linear embedding to optimize the constraints in one objective function. We show the application of the algorithm on typical photographs and compare the results to other color replacement methods. © 2012 Springer-Verlag Berlin Heidelberg.
dc.description.sponsorshipThis research was financially supported by Science Foundation Arizona, US Navy, and NSF. We would like tom thank Tom Ang (Fig. 14) and Norman Koren (Figs. 1, 5) for the permission to use their outstanding photographs.
dc.publisherSpringer Nature
dc.subjectColor manipulation
dc.subjectComputational photography
dc.subjectImage processing
dc.subjectInteractive image editing
dc.subjectRecoloring
dc.titleA framework for interactive image color editing
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalThe Visual Computer
dc.eprint.versionPost-print
dc.contributor.institutionArizona State University, Tempe, AZ, United States
dc.contributor.institutionVienna University of Technology, Vienna, Austria
kaust.personWonka, Peter
refterms.dateFOA2018-06-13T13:34:33Z
dc.date.published-online2012-11-09
dc.date.published-print2013-11


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