中文摘要：

针对传统POCS（projection onto convex sets）算法的局限性,提出了一种基于POCS框架的时空联合自适应视频超分辨率重建算法。通过引入时空联合自适应机制,算法有效地减缓了错误运动估计信息对重建图像质量的影响,克服了传统POCS算法对目标运动剧烈的视频序列重建时存在的噪声放大效应。实验结果表明,该算法有效地缓解了噪声放大,重建图像主观质量得到了增强,提高了信噪比。

英文摘要：

For the weakness of conventional POCS algorithms,this papaer proposed a novel spatio-temporal adaptive super-resolution reconstruction algorithm of video based on POCS frame.The spatio-temporal adaptive mechanism,which was induced to POCS super-resolution reconstruction frame,could prevent reconstructed image from the influence of inaccurate motion information to some extent and avoided the effect of noise amplification,which existed in using conventional POCS algorithms to reconstruct video sequences with dramatic target motion.Experimental results show that the proposed algorithm can effectively alleviate amplification noise and is better than the traditional method both in vision effect and signal to noise ration.