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NSST Domain Statistical Watermark Decoder Using Local Low-Order PZMs Magnitudes and Student’s-t Mixture Model

Published Online: 2024-07-16

Published Print: 2024-10

Authors

Peng, FanChen http://orcid.org/0009-0008-2497-6071
Xiao, Yao

Zhang, LiRong

Li, Yang

Gang, JiaLin
Funding

Funding for this research was provided by:

Young Science and Technology Star Project of Dalian, China (2022RQ092)

Basic Scientific Research Project for Colleges and Universities from Department of Education of Liaoning Province, China (JYTQN2023480)
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Text and Data Mining valid from 2024-07-16

Version of Record valid from 2024-07-16
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Article History

Received: 14 November 2023

Revised: 24 June 2024

Accepted: 24 June 2024

First Online: 16 July 2024

Declarations

:

: The authors declare no conflict of interest regarding this research work.

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