To improve the quality of the reconstruction for high resolution astronomical image

a compressed sensing denoising and reconstruction algorithm

which combines wavelet with wiener filtering

is proposed based on the traditional compressed sensing (CS) iterative wavelet thresholding algorithm. The design method for this algorithm is that: a predesigned wavelet wiener filtering operator is used to replace the traditional wavelet threshold operator to select the wavelet coefficient of astronomical image in each iteration

thus the pseudo-gibbs phenomenon caused by the threshold denoising method in the reconstructed image can be suppressed effectively

and then the total variation method is used to adjust the reconstructed image for improving its quality. The experimental results show that the proposed algorithm can achieve better denoising and reconstruction performance

and can effectively protect the detailed feature information of high resolution astronomical image

compared with the traditional iterative wavelet thresholding algorithm. In addition

when the compression ratio is higher

the proposed algorithm can also help to the relatively higher visual quality and peak signal to noise ratio.