Zhongyang Wang

Jul 29, 2024 | opg.optica.org | Zhongyang Wang |Guangming Zhang |Yuan Chen |Quan Wang

In digital holographic measurement, when light waves pass through inhomogeneous media or surfaces, speckle noise is generated, resulting in random, granular light and dark spots in the hologram, which greatly reduces the image quality. Therefore, in order to improve the image quality of holographic reconstruction, a noise reduction method based on the BM3D improved convolutional neural network (CNN) is proposed in this paper.

Jun 21, 2024 | nature.com | Zhongyang Wang

Correction to: Scientific Reports https://doi.org/10.1038/s41598-024-63017-8, published online 29 May 2024In the original version of this Article, Qing Hu was incorrectly listed as a corresponding author. The correct corresponding author for this Article is Zhongyang Wang. Correspondence and request for materials should be addressed to [email protected]. The original Article has been corrected.

Mar 11, 2024 | mdpi.com | Jun Tang |Zhongyang Wang

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Feb 15, 2024 | mdpi.com | Li Zhang |Wenwen Li |Zhongyang Wang

All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.