一种盲Poisson MAP超分辨方法

Blind Poisson MAP super-resolution method

由于成像系统内部和外部的因素,使得获取的图像产生退化。为获取高分辨率图像,图像超分辨技术获得迅速发展。基于各向异性正则化提出了一种盲Poisson MAP算法,该算法同时估计高分辨图像和包含了位移因素的模糊函数,与基本的盲Poisson MAP算法相比,有效地抑制了振铃效应,清晰度有很大改善,峰值信噪比大约提高7dB。

The image obtained by some sensors will be degraded unavoidably due to some inner and outer reasons of imaging system.In order to obtain high resolution image,the image super-resolution technology has been developed rapidly.A novel blind Poisson MAP algorithm is established,which may synchronously estimate high-resolution image and blur function containing shift factors.Compared with fundamental blind Poisson MAP algorithm,this algorithm can suppress oscillatory artifacts effectively and improve the definition greatly and increase peak SNR about 7 dB.