Improved Bayes Matting Algorithm
Yinwei Zhan · Jisuanji gongcheng · 2010
Aiming at the problem that traditional Bayes matting algorithm usually generates impulse noises in the resulted opacity channel, an improved algorithm is presented, which considerates the effect on α by clustering sampling points weight and introduces a term of smoothness constraint into the Bayes matting framework. Simulation experimental results show that the impulse noise is eliminated and matting quality is improved.