Adaptive color curve models for image matting

Sunyoung Cho, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Image matting is the process of extracting a foreground element from a single image with limited user input. To solve the inherently ill-posed problem, there exist various methods which use specific color model. One representative method assumes that the colors of the foreground and background elements satisfy the linear color model. The other recent method considers line-point color model and point-point color model. In this paper we present a new adaptive color curve model for image matting. We assume that the colors of local region form curve. Based on these pixels in the local region, we adaptively construct a curve model using quadratic Bézier curve model. This curve model enables us to derive a matting equation for estimating alphas of pixels forming a curve using quadratic formula. We show that our model estimates alpha mattes comparable or more accurately than recent existing methods.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Number of pages4
Publication statusPublished - 2010
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: 2010 Aug 232010 Aug 26

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651


Other2010 20th International Conference on Pattern Recognition, ICPR 2010

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition


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