NAOC Open IR
Data Matching of Solar Images Super-Resolution Based on Deep Learning
Liu Xiangchun1; Chen Zhan1; Song Wei1,2,3; Li Fenglei1; Yang Yanxing4
2021
Source PublicationCMC-COMPUTERS MATERIALS & CONTINUA
ISSN1546-2218
Volume68Issue:3Pages:4017-4029
AbstractThe images captured by different observation station have different resolutions. The Helioseismic and Magnetic Imager (HMI: a part of the NASA Solar Dynamics Observatory (SDO) has low-precision but wide coverage. And the Goode Solar Telescope (GST, formerly known as the New Solar Telescope) at Big Bear Solar Observatory (BBSO) solar images has high precision but small coverage. The super-resolution can make the captured images become clearer, so it is wildly used in solar image processing. The traditional super-resolution methods, such as interpolation, often use single image's feature to improve the image's quality. The methods based on deep learning-based super-resolution image reconstruction algorithms have better quality, but small-scale features often become ambiguous. To solve this problem, a transitional amplification network structure is proposed. The network can use the two types images relationship to make the images clear. By adding a transition image with almost no difference between the source image and the target image, the transitional amplification training procedure includes three parts: transition image acquisition, transition network training with source images and transition images, and amplification network training with transition images and target images. In addition, the traditional evaluation indicators based on structural similarity (SSIM) and peak signal-to-noise ratio (PSNR) calculate the difference in pixel values and perform poorly in cross-type image reconstruction. The method based on feature matching can effectively evaluate the similarity and clarity of features. The experimental results show that the quality index of the reconstructed image is consistent with the visual effect.
KeywordSuper resolution transition amplification transfer learning
Funding OrganizationCAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; National Science Foundation Project of P. R. China ; National Science Foundation Project of P. R. China ; cross-discipline research project of Minzu University of China ; cross-discipline research project of Minzu University of China ; State Language Commission Key Project ; State Language Commission Key Project ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; MUC 111 Project, First class courses (Digital Image Processing) ; MUC 111 Project, First class courses (Digital Image Processing) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; National Science Foundation Project of P. R. China ; National Science Foundation Project of P. R. China ; cross-discipline research project of Minzu University of China ; cross-discipline research project of Minzu University of China ; State Language Commission Key Project ; State Language Commission Key Project ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; MUC 111 Project, First class courses (Digital Image Processing) ; MUC 111 Project, First class courses (Digital Image Processing) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; National Science Foundation Project of P. R. China ; National Science Foundation Project of P. R. China ; cross-discipline research project of Minzu University of China ; cross-discipline research project of Minzu University of China ; State Language Commission Key Project ; State Language Commission Key Project ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; MUC 111 Project, First class courses (Digital Image Processing) ; MUC 111 Project, First class courses (Digital Image Processing) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; National Science Foundation Project of P. R. China ; National Science Foundation Project of P. R. China ; cross-discipline research project of Minzu University of China ; cross-discipline research project of Minzu University of China ; State Language Commission Key Project ; State Language Commission Key Project ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; MUC 111 Project, First class courses (Digital Image Processing) ; MUC 111 Project, First class courses (Digital Image Processing)
DOI10.32604/cmc.2021.017086
WOS KeywordBLIND DECONVOLUTION ; SPECKLE-MASKING ; RECONSTRUCTION
Language英语
Funding ProjectCAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP)[KLSA202114] ; National Science Foundation Project of P. R. China[61701554] ; cross-discipline research project of Minzu University of China[2020MDJC08] ; State Language Commission Key Project[ZDl135-39] ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; MUC 111 Project, First class courses (Digital Image Processing)[KC2066]
Funding OrganizationCAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; National Science Foundation Project of P. R. China ; National Science Foundation Project of P. R. China ; cross-discipline research project of Minzu University of China ; cross-discipline research project of Minzu University of China ; State Language Commission Key Project ; State Language Commission Key Project ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; MUC 111 Project, First class courses (Digital Image Processing) ; MUC 111 Project, First class courses (Digital Image Processing) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; National Science Foundation Project of P. R. China ; National Science Foundation Project of P. R. China ; cross-discipline research project of Minzu University of China ; cross-discipline research project of Minzu University of China ; State Language Commission Key Project ; State Language Commission Key Project ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; MUC 111 Project, First class courses (Digital Image Processing) ; MUC 111 Project, First class courses (Digital Image Processing) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; National Science Foundation Project of P. R. China ; National Science Foundation Project of P. R. China ; cross-discipline research project of Minzu University of China ; cross-discipline research project of Minzu University of China ; State Language Commission Key Project ; State Language Commission Key Project ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; MUC 111 Project, First class courses (Digital Image Processing) ; MUC 111 Project, First class courses (Digital Image Processing) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; CAS Key Laboratory of Solar Activity, National Astronomical Observatories Commission for Collaborating Research Program (CRP) ; National Science Foundation Project of P. R. China ; National Science Foundation Project of P. R. China ; cross-discipline research project of Minzu University of China ; cross-discipline research project of Minzu University of China ; State Language Commission Key Project ; State Language Commission Key Project ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; MUC 111 Project, First class courses (Digital Image Processing) ; MUC 111 Project, First class courses (Digital Image Processing)
WOS Research AreaComputer Science ; Materials Science
WOS SubjectComputer Science, Information Systems ; Materials Science, Multidisciplinary
WOS IDWOS:000648908000009
PublisherTECH SCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/77648
Collection中国科学院国家天文台
Corresponding AuthorSong Wei
Affiliation1.Minzu Univ, Sch Informat Engn, Beijing 100081, Peoples R China
2.Minzu Univ China, Natl Language Resource Monitoring & Res Ctr Minor, Beijing 100081, Peoples R China
3.Natl Astron Observ, CAS Key Lab Solar Act, Beijing 100101, Peoples R China
4.New Jersey Inst Technol, Dept Phys, Newark, NJ 07102 USA
Recommended Citation
GB/T 7714
Liu Xiangchun,Chen Zhan,Song Wei,et al. Data Matching of Solar Images Super-Resolution Based on Deep Learning[J]. CMC-COMPUTERS MATERIALS & CONTINUA,2021,68(3):4017-4029.
APA Liu Xiangchun,Chen Zhan,Song Wei,Li Fenglei,&Yang Yanxing.(2021).Data Matching of Solar Images Super-Resolution Based on Deep Learning.CMC-COMPUTERS MATERIALS & CONTINUA,68(3),4017-4029.
MLA Liu Xiangchun,et al."Data Matching of Solar Images Super-Resolution Based on Deep Learning".CMC-COMPUTERS MATERIALS & CONTINUA 68.3(2021):4017-4029.
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