NAOC Open IR
Mask-Pix2Pix Network for Overexposure Region Recovery of Solar Image
Zhao, Dong1,2; Xu, Long1; Chen, Linjie1; Yan, Yihua1; Duan, Ling-Yu3
2019-09-05
Source PublicationADVANCES IN ASTRONOMY
ISSN1687-7969
Volume2019Pages:10
AbstractOverexposure may happen for imaging of solar observation as extremely violet solar bursts occur, which means that signal intensity goes beyond the dynamic range of imaging system of a telescope, resulting in loss of signal. For example, during solar flare, Atmospheric Imaging Assembly (AIA) of Solar Dynamics Observatory (SDO) often records overexposed images/videos, resulting loss of fine structures of solar flare. This paper makes effort to retrieve/recover missing information of overexposure by exploiting deep learning for its powerful nonlinear representation which makes it widely used in image reconstruction/restoration. First, a new model, namely, mask-Pix2Pix network, is proposed for overexposure recovery. It is built on a well-known Pix2Pix network of conditional generative adversarial network (cGAN). In addition, a hybrid loss function, including an adversarial loss, a masked L1 loss and a edge mass loss/smoothness, are integrated together for addressing challenges of overexposure relative to conventional image restoration. Moreover, a new database of overexposure is established for training the proposed model. Extensive experimental results demonstrate that the proposed mask-Pix2Pix network can well recover missing information of overexposure and outperforms the state of the arts originally designed for image reconstruction tasks.
DOI10.1155/2019/5343254
WOS KeywordMISSION
Language英语
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000486402000001
PublisherHINDAWI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/27651
Collection中国科学院国家天文台
Corresponding AuthorXu, Long
Affiliation1.Chinese Acad Sci, Key Lab Solar Act, Natl Astron Observ, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Peking Univ, Natl Engn Lab Video Technol, Beijing 100871, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Dong,Xu, Long,Chen, Linjie,et al. Mask-Pix2Pix Network for Overexposure Region Recovery of Solar Image[J]. ADVANCES IN ASTRONOMY,2019,2019:10.
APA Zhao, Dong,Xu, Long,Chen, Linjie,Yan, Yihua,&Duan, Ling-Yu.(2019).Mask-Pix2Pix Network for Overexposure Region Recovery of Solar Image.ADVANCES IN ASTRONOMY,2019,10.
MLA Zhao, Dong,et al."Mask-Pix2Pix Network for Overexposure Region Recovery of Solar Image".ADVANCES IN ASTRONOMY 2019(2019):10.
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