High resolution astronomical image denoising based on compressed sensing

被引：0
|
作者：
Zhang J. [1 ]
Luo C. [2 ]
Shi X. [1 ]
Liu X. [1 ]
机构：
[1] Control and Simulation Center, Harbin Institute of Technology, Harbin
[2] Shanghai Academy of Spaceflight Technology, Shanghai
来源：
Shi, Xiaoping (sxp@hit.edu.cn) | 1600年 / Harbin Institute of Technology卷 / 49期
关键词：
Astronomical image; Compressed sensing; Denoising; High resolution; Wavelet wiener filtering;
D O I：
10.11918/j.issn.0367-6234.201605061
中图分类号：
学科分类号：
摘要：
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. © 2017, Editorial Board of Journal of Harbin Institute of Technology. All right reserved.
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页码：22 / 27
页数：5
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