Next Article in Journal
On the Use of the Effective Width for Simply Supported Generally Loaded Box-Girders
Previous Article in Journal
Effects of a Physical Training Program on Cognitive and Physical Performance and Health-Related Variables in Professional esports Players: A Pilot Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Goo, S.; Yang, H.-D. Restoring Raindrops Using Attentive Generative Adversarial Networks. Appl. Sci. 2021, 11, 7034

Department of Computer Engineering, Chosun University, 309 Pilmun-Daero, Dong-Gu, Gwangju 61452, Republic of Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(7), 2847; https://doi.org/10.3390/app14072847
Submission received: 14 March 2024 / Accepted: 19 March 2024 / Published: 28 March 2024
(This article belongs to the Section Computing and Artificial Intelligence)
Suhan Goo was not included as an author in the original publication [1]. The corrected Author Contributions statement appears here.
Author Contributions: Conceptualization, H.-D.Y.; Methodology, S.G. and H.-D.Y.; Software, S.G. and H.-D.Y.; Validation, S.G. and H.-D.Y.; Data curation, S.G. and H.-D.Y.; Supervision, H.-D.Y.; Project administration, H.-D.Y.; writing—original draft preparation, S.G. and H.-D.Y.; writing—review and editing, H.-D.Y.; funding acquisition, H.-D.Y. All authors have read and agreed to the published version of the manuscript.
In the original publication, there was a mistake in Figure 4, Figure 5, Figure 6, Figure 7, Figure 8 and Figure 9 as published. The content depicted in Figure 4, Figure 5, Figure 6, Figure 7 and Figure 8 did not match the description of the waterdrop type provided in Table 1. We have modified the figures to align with the information presented in Table 1. The order of Figure 5, Figure 6, Figure 7 and Figure 8 was changed to Figure 7, Figure 5, Figure 8 and Figure 6, respectively. The sub-captions in Figure 4, Figure 5, Figure 6, Figure 7, Figure 8 and Figure 9 contains errors. The sub-captions in Figure 4, Figure 5, Figure 6, Figure 7, Figure 8 and Figure 9, “Bilateral filter”, “cycle GAN”, “ATTGAN” and “Proposed method” have been changed to “Medial filter”, “Bilateral filter”, “cycle GAN” and “ATTGAN”, respectively. The PSNR values in Figure 9 for “cycle GAN” and “ATTGAN” were errors. The PSNR values for “cycle GAN” and “ATTGAN” have been corrected. We also modified the result images of ATTAGAN in Figure 4, Figure 5, Figure 6, Figure 7 and Figure 8. The corrected Figure 4, Figure 5, Figure 6, Figure 7, Figure 8 and Figure 9 are shown below.
The authors wish to add the following statement to the Acknowledgments section of article:
Acknowledgments: This paper was modified and developed from the master’s thesis of the first author [2].”
The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

References

  1. Goo, S.; Yang, H.-D. Restoring Raindrops Using Attentive Generative Adversarial Networks. Appl. Sci. 2021, 11, 7034. [Google Scholar] [CrossRef]
  2. Goo, S. Restoring Water Drop on Window using on Conditional Generative Adversarial Network. Master’s Thesis, Department of Computer Engineering, Chosun University, Gwangju, Republic of Korea, 2018. [Google Scholar]
Figure 4. Results for type 1 waterdrops (medium water mist).
Figure 4. Results for type 1 waterdrops (medium water mist).
Applsci 14 02847 g004
Figure 5. Results for type 2 waterdrops (weak water stream and small water mist).
Figure 5. Results for type 2 waterdrops (weak water stream and small water mist).
Applsci 14 02847 g005
Figure 6. Results for type 3 waterdrops (strong waterdrops).
Figure 6. Results for type 3 waterdrops (strong waterdrops).
Applsci 14 02847 g006
Figure 7. Results for type 4 waterdrops (strong water stream).
Figure 7. Results for type 4 waterdrops (strong water stream).
Applsci 14 02847 g007
Figure 8. Results for type 5 waterdrops (large waterdrops and strong water fog).
Figure 8. Results for type 5 waterdrops (large waterdrops and strong water fog).
Applsci 14 02847 g008
Figure 9. PSNRs according to the waterdrop types.
Figure 9. PSNRs according to the waterdrop types.
Applsci 14 02847 g009
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Goo, S.; Yang, H.-D. Correction: Goo, S.; Yang, H.-D. Restoring Raindrops Using Attentive Generative Adversarial Networks. Appl. Sci. 2021, 11, 7034. Appl. Sci. 2024, 14, 2847. https://doi.org/10.3390/app14072847

AMA Style

Goo S, Yang H-D. Correction: Goo, S.; Yang, H.-D. Restoring Raindrops Using Attentive Generative Adversarial Networks. Appl. Sci. 2021, 11, 7034. Applied Sciences. 2024; 14(7):2847. https://doi.org/10.3390/app14072847

Chicago/Turabian Style

Goo, Suhan, and Hee-Deok Yang. 2024. "Correction: Goo, S.; Yang, H.-D. Restoring Raindrops Using Attentive Generative Adversarial Networks. Appl. Sci. 2021, 11, 7034" Applied Sciences 14, no. 7: 2847. https://doi.org/10.3390/app14072847

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop