Improved curvelet thresholding algorithm for astronomical image denoising

In image denoising, in order to overcome the shortcoming that the uniform wavelet threshold in iterative thresholding algorithm can't separate the image from noise effectively at each iteration leads to the quality of the reconstructed image is poor, an improved curvelet threshold is proposed to replace it. And then iterative curvelet thresholding algorithm based on the improved threshold is proposed. In this paper, we apply the proposed algorithm for high resolution astronomical image denoising. The experimental result shows that the proposed algorithm improves the visual quality, effectively protects astronomical image details. When compression ratio is lower, the proposed algorithm still can obtain a higher peak signal to noise ratio (PSNR).