DOAJ Open Access 2021

Research progress of digital image forensic techniques based on deep learning

QIAO Tong, YAO Hongwei, PAN Binmin, XU Ming CHEN Yanli

Abstrak

In the new era of rapid development of internet, where massive forgery images with updated tampering techniques flood into, traditional algorithms are no longer able to deal with the latest multimedia tampering techniques, especially those caused by Deepfake and deep learning techniques. Thus, a universal framework for image forensics including image pre-processing module, feature extraction module and post-processing module designed for specific classification were proposed creatively. Accordingly, the state-of-the-art algorithms were reviewed，and meanwhile the main strength and limitations of current algorithms were generalized. More importantly, the future studies were also listed for advancing the development of digital image forensics.

Topik & Kata Kunci

Electronic computers. Computer science

Penulis (2)

QIAO Tong, YAO Hongwei, PAN Binmin, XU Ming

CHEN Yanli

Format Sitasi

APA MLA BibTeX

Ming, Q.T.Y.H.P.B.X., Yanli, C. (2021). Research progress of digital image forensic techniques based on deep learning. https://doi.org/10.11959/j.issn.2096-109x.2021047

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Informasi Jurnal

Tahun Terbit: 2021
Sumber Database: DOAJ
DOI: 10.11959/j.issn.2096-109x.2021047
Akses: Open Access ✓