采用GPU加速的压缩感知图像恢复算法
Microelectronics & Computer(2016)
Abstract
压缩感知(Compressed Sensing,CS)的信号重构部分需要进行大数据量的计算,然而传统的CPU对大量的矢量计算并没有优势。为了解决这一问题,我们以CUDA作为并行计算架构,通过GPU-CPU并行编程技术,实现了三种快速高效的压缩感知图像恢复算法,包括正交匹配追踪OMP算法、两步阈值迭代TwIST算法和线性Bregman算法。
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