Open Access
4 January 2023 (Retracted) Super-resolution generative adversarial networks using autoencoder reduce dimension
Qian Xiang, Guohua Zhao, Huabing Cheng
Author Affiliations +
Abstract

The Editor-in-Chief and the publisher have retracted this article, which was submitted as part of a guest-edited special section. An investigation uncovered evidence of systematic manipulation of the publication process, including compromised peer review. The Editor and publisher no longer have confidence in the results and conclusions of the article.

QX, GZ, and HC agree with the retraction.

Xiang, Zhao, and Cheng: (Retracted) Super-resolution generative adversarial networks using autoencoder reduce dimension
© 2023 SPIE and IS&T
Qian Xiang, Guohua Zhao, and Huabing Cheng "(Retracted) Super-resolution generative adversarial networks using autoencoder reduce dimension," Journal of Electronic Imaging 32(6), 062504 (4 January 2023). https://doi.org/10.1117/1.JEI.32.6.062504
Received: 18 August 2022; Accepted: 29 November 2022; Published: 4 January 2023
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image quality

Education and training

Image restoration

Super resolution

Gallium nitride

Lawrencium

Medical imaging

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