电子学报2012，Vol.40Issue(9)：1795-1800,6.DOI:10.3969/j.issn.0372-2112.2012.09.015
基于局部自回归模型的压缩感知视频图像递归重建算法
Compressed Sensing Video Images Recursive Reconstruction Algorithm Based on Local Autoregressive Model
摘要
Abstract
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.关键词
压缩感知/视频图像/递归重建/自回归模型/残差补偿Key words
compressed sensing/ video images/recursive reconstruction/local autoregressive model/residual compensation分类
信息技术与安全科学引用本文复制引用
李星秀,韦志辉..基于局部自回归模型的压缩感知视频图像递归重建算法[J].电子学报,2012,40(9):1795-1800,6.基金项目
国家自然科学基金(No.61071146,No.61101194,No.61101198) （No.61071146,No.61101194,No.61101198）
江苏省自然科学基金(No.BK2011701) （No.BK2011701）
高等学校博士学科点专项科研基金(No.20113219120024) （No.20113219120024）
