Digital image forgery detection using artificial neural network and independent component analysis

Applied Mathematics and Computation

Volumn 194, Issue 2, 2007, Pages 540-543

  Gopi, E S ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Auto regressive model; Back propagation neural network

Indexed keywords

BACKPROPAGATION; DIGITAL SIGNAL PROCESSING; INDEPENDENT COMPONENT ANALYSIS; NEURAL NETWORKS; PHOTOGRAPHY; REGRESSION ANALYSIS;

AUTO REGRESSIVE MODELS; BACK PROPAGATION NEURAL NETWORKS; DIGITAL IMAGE FORGERY; PHOTOGRAPHIC IMAGES;

IMAGE ANALYSIS;

EID: 36049026524     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2007.04.055     Document Type: Article

References (4)

1. Popescu A.C., and Farid H. Exposing digital forgeries by detecting traces of resampling. IEEE Transactions on Signal Processing 53 2 (2005)
2. E.S. Gopi, N. Lakshmanan, T. Gokul, S. Kumar Ganesh, Prerak R. Shah, Digital image forgery detection using artificial neural network and auto regressive co-efficients, in: IEEE Proceedings on the Canadian Conference on Electrical and Computer Engineering, ISBN 1-4244-0038-4, 2006, pp. 194-197.
3. Hyvarinen A., and Oja E. Independent component analysis: algorithms and applications. Neural Networks 13 4-5 (2000) 411-430
4. Haykin S. Neural Networks - A Comprehensive Foundation. second ed. (1999), PearsonEdu., Inc.