摘要
提出了基于 Markov约束的泊松最大后验概率 ( Poisson-MAP)超分辨率图象复原方法 ( MPMAP) ,该方法把 Poisson-MAP法和 Markov随机场先验分布有机地结合在一起 .实验表明 ,该方法能有效地减少和去除复原图象中的噪音和振荡条纹 ,提高图象复原质量 。
In this paper,Poisson-MAP Super-resolution image restoration algorithm with Markov constraint (MPMAP) is proposed which incorporates Poisson-MAP algorithm and Markov Random Field(MRF) prior.Experimental results demonstrate that MPMAP can effectively reduce and remove noise and oscillatory artifacts in restoration images,get good quality restoration images and achieve strong bandwidth extension under super resolution meaning
出处
《光子学报》
EI
CAS
CSCD
北大核心
2002年第4期492-496,共5页
Acta Photonica Sinica
