Distortion Model-Based Spectral Augmentation for Generalized Recaptured Document Detection-Reference-Cited by-同舟云学术

Distortion Model-Based Spectral Augmentation for Generalized Recaptured Document Detection

Published:2024 Issue: Volume:19 Page:1283-1298
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Chen Changsheng¹^ORCID,Li Bokang²,Cai Rizhao¹^ORCID,Zeng Jishen³,Huang Jiwu¹^ORCID

Affiliation:

1. Guangdong Key Laboratory of Intelligent Information Processing, the Shenzhen Key Laboratory of Media SecurityState Key Laboratory of Radio Frequency Heterogeneous Integration, and the College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China

2. ROSE Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore

3. Alibaba Group, Hangzhou, China

Funder

NSFC

CCF-Alibaba Innovative Research Fund for Young Scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10330057.pdf?arnumber=10330057

Reference58 articles.

1. Digital image integrity – a survey of protection and verification techniques

2. Document images forgery localization using a two‐stream network

3. Categorization of Document Image Tampering Techniques and How to Identify Them

4. Printing and scanning investigation for image counter forensics

5. Deep Learning-Based Forgery Attack on Document Images

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