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Prior information directed stage-wise measurement matrix design for block compressed image sensing

机译:用于块压缩图像传感的先验信息定向阶段测量矩阵设计

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摘要

A key issue for compressed Sensing (CS) is to design the measurement matrix. However, the traditional measurement matrix is not optimal due to its non-adaptability without showing discrimination to different components. In this paper, a prior information directed stage-wise measurement matrix is proposed for block compressed image sensing, leading to a st-BCS method. In the first stage, the measurement matrix only takes measurements of the important low frequency components directed by the prior structure information, and then it is updated stage by stage according to the prior information obtained at the decoder side via a feedback. Experimental results show that our st-BCS achieves significant performance improvement over the state-of-art BCS scheme which uses the non-adaptive random matrix.
机译:压缩传感(CS)的关键问题是设计测量矩阵。然而,传统的测量矩阵由于其不适应性而不显示出对不同组件的辨别性而不是最优的。在本文中,提出了一种先验信息定向阶段测量矩阵,用于块压缩图像传感,从而导致了st-BCS方法。在第一阶段,测量矩阵仅进行由先验结构信息指示的重要低频分量的测量,然后根据在解码器侧通过反馈获得的先验信息逐步更新。实验结果表明,与使用非自适应随机矩阵的最新BCS方案相比,我们的st-BCS取得了显着的性能提升。

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