论文标题
低功率视觉应用的基于线路的压缩感
Line-based compressive sensing for low-power visual applications
论文作者
论文摘要
在本文中，讨论并为低功率视觉应用讨论并提出了基于线的压缩感（LCS）方案，其中使用相同的测量运算符在编码器侧以逐条划线方式进行图像采集。这种方法减轻了计算负担，并使实施过程（在Encoder）加上比其他CS技术更容易（在Encoder）Plus提供更好，更有效的初始重建（在解码器上）。重建算法基于常规增强Lagrangian方法与可变分裂和交替方向方法的组合，并称为TV-AL3。仿真结果表明，与常规的CS方案相比，在各个子列表处提出的基于线的CS方案不仅在各个子架上提高了图像的质量，而且还可以降低编码器端的计算复杂性。
In this paper, a Line based Compressive Sensing (LCS) scheme is discussed and proposed for low power visual applications, in which image acquisition is performed in a line-by-line manner at the encoder side using same measurement operator. Such approach reduces the computational burden and makes the implementation process easier (at encoder) plus provides better and more efficient initial reconstruction (at decoder) than other CS techniques. The reconstruction algorithm is based on the combination of the conventional augmented Lagrangian method with variable splitting and alternating direction method and is referred as TV-AL3. The simulation results show that the proposed line based CS scheme not only improves the quality of image by 1dB to ~3dB at various subrates, when compared to the conventional CS schemes but also reduces the computational complexity at the encoder side.
