基于局部自回归模型的压缩感知视频图像递归重建算法

 结合预估和残差补偿的递归重建算法是一种有效的压缩感知视频图像重建算法.针对现有算法中'预估’精度不高的问题,本文基于视频序列中相邻图像的内容相似性和单幅图像的非局部自相似性,分析了相邻图像局部图像块的相似匹配性,并以此作为视频图像的相关性先验,提出了一种基于局部自回归模型的图像预估重建算法.预估算法中当前图像像素点的自回归参数由参考图像中相似图像块的灰度信息通过学习获得.实验结果表明,与同类算法相比,本文预估算法所对应的递归重建算法可获得更高质量的视频图像重建结果.

Compressed Sensing Video Images Recursive Reconstruction Algorithm Based on Local Autoregressive Model

The approaches combining the prediction and residual compensation can be used to reconstruct the compressed sensing video images recursively.In order to improve the precision of the existing prediction schemes,this paper proposes an image prediction algorithm based on the local autoregressive model.Before that,this paper firstly analyses the similarity of local image patches in consecutive images based on the content similarity of two consecutive images and the non-local similarity of each single image,and then takes this similarity as the correlation prior information to estimate the autoregressive parameters of current image.Compared to the existing related algorithms,the recursive reconstruction algorithm exploiting the proposed prediction scheme can achieve higher video images reconstruction performance.