Digital image forensics of non-uniform deblurring

Author:

Zhang Qin,Xiao Huimei,Xue Fei,Lu Wei,Liu Hongmei,Huang Fangjun

Funder

National Natural Science Foundation of China

Key Areas R&D Program of Guangdong

Key Project of Scientific Research Plan of Guangzhou

Natural Science Foundation of Guangdong

Special Funds for Science and Technology Development of Guangdong

Shanghai Minsheng Science and Technology Support Program

Shanghai Sailing Program

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference66 articles.

1. A bibliography on blind methods for identifying image forgery;Mahdian;Signal Process. Image Commun.,2010

2. Exposing digital forgeries by detecting traces of resampling;Popescu;IEEE Trans. Signal Process.,2005

3. Exposing digital forgeries in complex lighting environments;Johnson;IEEE Tran. Inf. Forensics Secur.,2007

4. M.K. Johnson, H. Farid, Exposing digital forgeries through chromatic aberration, in: The Workshop on Multimedia and Security, Istanbul, Turkey, 2006, pp. 48–55.

5. D.Y. Hsiao, S.C. Pei, Detecting digital tampering by blur estimation, in: International Workshop on Systematic Approaches to Digital Forensic Engineering, Taipei, China, 2005, pp. 264–278.

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