文章基本信息

标题：Using MCycleGAN to Realize High-Resolution Reconstruction of Solar Speckle Image
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作者：Wenhao Cui ; Murong Jiang ; Pengming Fu 等
期刊名称：Journal of Computer and Communications
印刷版ISSN：2327-5219
电子版ISSN：2327-5227
出版年度：2020
卷号：08
期号：11
页码：120-129
DOI：10.4236/jcc.2020.811009
语种：English
出版社：Scientific Research Publishing
摘要：High-resolution reconstruction of solar speckle image is one of the important research contents in astronomical image processing. High-resolution image reconstruction based on deep learning can obtain the end-to-end mapping function from low-resolution image to high-resolution image through neural network model learning, which can recover the high-frequency information of the image. However, when used to reconstruct the sun speckle image with single feature, more noise and fuzzy local details, there are some shortcomings such as too smooth edge and easy loss of high-frequency information. In this paper, the structure features of input image and reconstructed image are added to CycleGAN network to get MCycleGAN. High frequency information is obtained from structural features by generator network, and the feature difference is calculated to enhance the ability of network to reconstruct high-frequency information. The edge of the reconstructed image is clearer. Compared with the speckle mask method level 1+ used by Yunnan Observatory, the results show that the proposed algorithm has the advantages of small error, fast reconstruction speed and high image clarity.
关键词：Solar Speckle Image;High-Resolution Reconstruction;MCycleGAN