The effectiveness of the enhanced deep super-resolution network (EDSR), which is a super-resolution technique based on the deep convolutional neural network, is investigated for the improvement of spatial resolution during a background-orientated schlieren (BOS) analysis, and its suitable training process in the EDSR method is clarified. Consequently, a training dataset consisting of the simple dot patterns leads to a better image quality due to super-resolution because the image captured in the BOS measurement shows the similar dot patterns. When the image is enlarged at a large magnification ratio, it is important to adjust an image size in the training dataset individually for each magnification ratio, thereby obtaining a good estimation accuracy of the pixel displacement in the BOS analysis. A measurement error is improved by 62% compared with that of the Bicubic method, which is a classical spatial resolution improvement technique at the magnification ratio of 8. The present result shows that the EDSR method with the best training conditions provides a reasonable pixel displacement vector field up to the magnification ratio of 8 for the BOS analysis; however, its effectiveness depends on flow structure.
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December 2023
Research Article|
December 06 2023
Spatial resolution improvement by a super-resolution technique depending on training process in the background-orientated schlieren analyses
Katsunari Ota (太田勝也)
;
Katsunari Ota (太田勝也)
(Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing)
Department of Mechanical Engineering, Osaka Institute of Technology
, Osaka 535-8585, Japan
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Takahiro Ukai (鵜飼孝博)
;
Takahiro Ukai (鵜飼孝博)
a)
(Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing)
Department of Mechanical Engineering, Osaka Institute of Technology
, Osaka 535-8585, Japan
a)Author to whom correspondence should be addressed: [email protected]. Tel.: +81-(0)6-6954-4266
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Tatsuya Wakai (若井達哉)
Tatsuya Wakai (若井達哉)
(Investigation, Validation, Writing – review & editing)
Department of Mechanical Engineering, Osaka Institute of Technology
, Osaka 535-8585, Japan
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a)Author to whom correspondence should be addressed: [email protected]. Tel.: +81-(0)6-6954-4266
Physics of Fluids 35, 126103 (2023)
Article history
Received:
September 02 2023
Accepted:
November 09 2023
Citation
Katsunari Ota, Takahiro Ukai, Tatsuya Wakai; Spatial resolution improvement by a super-resolution technique depending on training process in the background-orientated schlieren analyses. Physics of Fluids 1 December 2023; 35 (12): 126103. https://doi.org/10.1063/5.0174753
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