基于两步迭代收缩法的多稀疏空间图像快速重构方法OACSTPCD

Image reconstruction methods have the problem of poor reconstruction effect due to the large pixel range selection,low peak signal-to-noise ratio and long reconstruction time in multi-sparse space image reconstruction.A fast reconstruction method of multi-sparse space image based on two-step iterative contraction is proposed.The problems existing in multi-sparse space image reconstruction were clarified.The iterative weighted shrinkage algorithm was introduced based on the iterative shrinkage threshold algorithm after iden-tifying the problems,and the results of each iteration were combined as initial values,the two-step iterative shrinkage method design of image reconstruction was completed to realize the rapid reconstruction of multi-sparse space image.The experimental results show that the peak signal-to-noise ratio of reconstructed multi-sparse space images can reach more than 37.9 dB,image reconstruction time is only 16.0 ms,the image structure similarity can reach more than 0.98,and the reconstruction effect of multi-sparse space images is better.The feasibility of method has been verified by experimental analysis.