Compressed Sensing Denoising Algorithm for Astronomical Images

In compressed sensing (CS), iterative thresholding algorithm is commonly used for image denoising and reconstruction. However, it often gets blurry reconstructed image as the uniform threshold can't separate the original image from the noise completely in each step scale. In this paper, an optimized threshold is proposed by replacing the uniform threshold in iterative thresholding reconstruction algorithm. And then a CS reconstruction algorithm is proposed. Numerical experiment results on astronomical images show that the proposed algorithm can effectively remove the noise from the noisy astronomical image and improve the reconstructed image quality. Especially when the compression ratio is very low, the proposed algorithm can still achieve better reconstruction performance.