摘要
针对传统Bayes抠图算法容易在生成的不透明度通道上产生脉冲噪音的问题,提出一种改进算法,充分考虑分簇采样点所占比重对α值估算准确度的影响,在贝叶斯框架中嵌入一个含比重因子的平滑约束项表达式。仿真实验结果表明,该改进算法能够有效消除脉冲噪音,使抠像结果更为光滑。
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 a 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.
出处
《计算机工程》
CAS
CSCD
北大核心
2010年第3期213-214,217,共3页
Computer Engineering
基金
国家自然科学基金资助项目"基于多尺度几何分析的可伸缩视频编码方法"(60572078)