Performance of Bayesian-based digital matting techniques

Cumpim, Chaipichit; Chotikakamthorn, Nopporn

doi:10.1109/ISSPA.2007.4555548

Performance of Bayesian-based digital matting techniques

Author(s)

Cumpim, Chaipichit

Chotikakamthorn, Nopporn

Date Issued

December 1, 2007

Type

Conference Paper

DOI

10.1109/ISSPA.2007.4555548

Abstract

Statistical-based digital matting of natural background is considered in this paper. Performance of the original Bayesian-based matting method has been studied. It is shown that the performance depends on the algorithm initial condition as well as a noise variance parameter. Two initialization methods have been considered. The first one obtains initial value from Ruzon's maximum likelihood method, while the second one employs the centers of foreground and background color clusters as the initial value. Both methods were found to offer improved performance. In addition, optimum choice of the noise variance was found to vary from one image to another. An alternative formulation of a Bayesian-based digital matting technique which does not contain the noise variance parameter is described. It was found to yield results comparable to the original method for most of the test cases. ©2007 IEEE.

Citation

2007 9th International Symposium on Signal Processing and Its Applications Isspa 2007 Proceedings, 2007