@inproceedings{b838d96a4acd4adfb6963b6fe96ba4b1,
title = "Improved iterative contourlet algorithm for astronomical image denoising",
abstract = "Research on compressed sensing (CS) reconstruction algorithm. To solve the problem of lower convergence speed in compressed sensing iterative algorihtm (ICWF) based on contourlet wiener filtering, a Dai-Yuan linear search step size is used to adjust the convergence speed in this paper, and then an improved ICWF algorithm is proposed. At the same time, the proposed algorithm is applied for astronomical image denoising. Number experimental results demonstrate that the proposed algorithm is superior to the traditional ICWF algorithm in terms of convergence speed and visual quality, meanwhile which can effectively protect the astronomical image detail information.",
keywords = "Astronomical Image, Compressed Sensing, Contourlet, Wiener Filtering",
author = "Xiaoping Shi and Jie Zhang and Yi Zhu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th Chinese Control and Decision Conference, CCDC 2017 ; Conference date: 28-05-2017 Through 30-05-2017",
year = "2017",
month = jul,
day = "12",
doi = "10.1109/CCDC.2017.7979350",
language = "英语",
series = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4833--4837",
booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
address = "美国",
}