【摘要】 压缩感知是一种全新的信号采样重构方法,和传统的方法相比,它不再要求信号的采样率达到信号带宽的两倍以上,这样就克服了资源浪费,效率低下等缺陷,本文研究了压缩感知理论,并在此基础上研究了多种重构算法,并应用五种典型的压缩感知重构算法来重构二维彩色图片和二维灰度图片,客观的对比了两种算法的实验效果。更多还原

【Abstract】 Compressed sensing is a new method of signal sampling and reconstruction.Compared with the traditional method,it no longer requires the sampling rate of signal to be more than twice the bandwidth of signal,which overcomes the shortcomings of waste of resources and inefficiency.This paper studies the theory of compressed sensing,and on this basis,studies a variety of reconstruction algorithms,and applies five typical compressed sensing reconstruction algorithms to reconstruct.A two-dimensional color image and a two-dimensional gray image objectively compare the experimental results of the two algorithms.更多还原