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电子学报  2014 

基于联合总变分最小化的视频压缩感知重建算法

DOI: 10.3969/j.issn.0372-2112.2014.12.012, PP. 2415-2421

Keywords: 压缩感知,总变分,稀疏先验,残差重建

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Abstract:

在接收端进行预测和补偿的残差重建算法是一种高效的视频压缩感知重建算法.但是,残差重建算法没有应用当前图像的稀疏先验,算法性能完全依赖于预测结果的准确性.针对此问题,本文提出了一种基于联合总变分最小化的视频压缩感知重建算法以提升重建图像质量.为了联合应用待重建图像及对应残差值的稀疏先验,在所建立的重建模型中,分别计算目标图像块及其残差值的总变分范数;为求解最小化问题,引入新的变量,并基于splitBregman方法设计了一种迭代求解算法.实验结果表明,与同类算法相比,提出的重建算法可以在相同采样率下获得更高质量的重建图像.

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