Multi-Channel Blind Restoration of Mixed Noise Images under Atmospheric Turbulence
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Published:2022-11-05
Issue:11
Volume:13
Page:1842
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ISSN:2073-4433
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Container-title:Atmosphere
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language:en
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Short-container-title:Atmosphere
Author:
Yang Huizhen,Li Songheng,Liu Jinlong,Han Xue,Zhang Zhiguang
Abstract
The imaging quality of astronomical or space objects is significantly degraded by atmospheric turbulence, photon noise, image sensor noise, and other factors. A multi-channel alternating minimization (MCAM) method is proposed to restore degraded images, in which multiple blurred images at different times are selected, and the imaging object and the point spread function are reconstructed alternately. Results show that the restoration index can converge rapidly after two iterations of the MCAM method when six different images are adopted. According to the analysis of the structure similarity index, the stronger the influence of turbulence and mixed noise, the higher the degree of image improvement. The above results can provide a reference for blind restoration of images degraded by atmospheric turbulence and mixed noises.
Funder
Joint Funds of the National Natural Science Foundation of China
National Natural Science Foundation of China
High-level Talent Project of “Six Talents Peak” in Jiangsu Province
Subject
Atmospheric Science,Environmental Science (miscellaneous)
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