Descent-Accelerated Proximal Gradient Algorithm Based on Compressive Sensing
Using image processing technology to correct and denoise the images obtained by satellite,reconnaissance plane and unmanned aerial vehicle(UAV),the clarities of images about the battlefield environment and the striking targets are improved.It is conducive to improving the effectiveness of bat-tlefield reconnaissance and surveillance.Based on the principle that the compressed sensing technology can reconstruct the original signal from a small number of measured values at a sampling rate recon-struct much less than Nyquist,a denoising and reconstruction algorithm of the descent-accelerated proximal gradient(DAPG)images is proposed.The convergence of the algorithm is proved.Experi-mental results show that,compared with four traditional algorithms,the algorithm can effectively im-prove the image clarity,and the target feature is more obviously improved.
万方数据
维普
