Forensic Analysis of JPEG-domain Enhanced Images via Coefficient Likelihood Modeling-Reference-Cited by-同舟云学术

Forensic Analysis of JPEG-domain Enhanced Images via Coefficient Likelihood Modeling

Published:2021 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Yang Jianquan¹,Zhu Guopu²,Luo Yao³,Kwong Sam⁴,Zhang Xinpeng⁵,Zhou Yicong⁶

Affiliation:

1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China, and Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China.

2. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China. (e-mail: guopu.zhu@gmail.com)

3. Accuray Inc., Chengdu 610000, China, and was with the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

4. Department of Computer Science, City University of Hong Kong, Hong Kong, and also with the City University of Hong Kong Shenzhen Research Institute, Shenzhen 518000, China.

5. School of Computer Science, Fudan University, Shanghai 200433, China.

6. Department of Computer and Information Science, University of Macau, Macau 999078, China.

Funder

Basic Research Program of Shenzhen

Tiptop Scientific and Technical Innovative Youth Talents of Guangdong Special Support Program

Universidade de Macau

The Science and Technology Development Fund Macau SAR

Hong Kong GRFRGC General Research Fund

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/09395489.pdf?arnumber=9395489

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