Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Jiangqun Ni"'
Autor:
Yuanfeng Pan, Jiangqun Ni
Publikováno v:
Symmetry, Vol 16, Iss 5, p 575 (2024)
Nowadays, most image steganographic schemes embed secret messages by minimizing a well-designed distortion cost function for the corresponding domain, i.e., the spatial domain for spatial image steganography or the JPEG (Joint Photographic Experts Gr
Externí odkaz:
https://doaj.org/article/74f427817fc44bdbbd0f8a1a2f05282e
Publikováno v:
IEEE Access, Vol 8, Pp 25611-25625 (2020)
In this paper, a novel image splicing detection and localization scheme is proposed based on the local feature descriptor which is learned by deep convolutional neural network (CNN). A two-branch CNN, which serves as an expressive local descriptor is
Externí odkaz:
https://doaj.org/article/1f4e2009ad5e46fc82a52a46aa451856
Publikováno v:
IEEE Access, Vol 8, Pp 11328-11341 (2020)
Although there exist many researches on the compression of original non-encrypted binary images, few approaches focus on the compression of encrypted binary images. As binary images like contract, signature, halftone images are still used widely in p
Externí odkaz:
https://doaj.org/article/a1f8930782a64cdfbb2c257d9f01e27f
Publikováno v:
Symmetry, Vol 15, Iss 2, p 520 (2023)
As the opponent of motion vector (MV)-based video steganography, the corresponding symmetric steganalysis has also developed a lot in recent years, among which the logic-based steganalytic schemes, e.g., AoSO, NPELO and MVC, are the most prevailing.
Externí odkaz:
https://doaj.org/article/27788b463c334e76919b68cd82ebd740
Publikováno v:
Information Sciences. 607:1001-1022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ad19761500c25f865a530530af65b0c
https://doi.org/10.1016/j.ins.2022.06.011
https://doi.org/10.1016/j.ins.2022.06.011
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:4905-4910
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01a84c518167eb78ccbe07b5698a5131
https://doi.org/10.1109/tcsvt.2021.3135384
https://doi.org/10.1109/tcsvt.2021.3135384
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:1701-1706
In this letter, we propose a general digital image operation anti-forensic framework based on generative adversarial nets (GANs), called dual-domain generative adversarial network (DDGAN). To tackle the issue of image operation detection, the propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6864404232919bd7770c04b5deeca18
https://doi.org/10.1109/tcsvt.2021.3068294
https://doi.org/10.1109/tcsvt.2021.3068294
Publikováno v:
Journal of Imaging Science & Technology; Jul/Aug2023, Vol. 67 Issue 4, p1-13, 13p
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
With wide applications of image editing tools, forged images (splicing, copy-move, removal and etc.) have been becoming great public concerns. Although existing image forgery localization methods could achieve fairly good results on several public da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aae98380831ae59a7bd6a73d53b9a67a
https://pubmed.ncbi.nlm.nih.gov/36170406
https://pubmed.ncbi.nlm.nih.gov/36170406
Publikováno v:
The Computer Journal.
In prediction error-based reversible data hiding, multiple histograms modification (MHM) is well known for high image quality and thus has received wide attention in recent years. However, the computational cost for performance optimization in MHM is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80b3713caf114c169fb4e6299c7a33bd
https://doi.org/10.1093/comjnl/bxac109
https://doi.org/10.1093/comjnl/bxac109