Non-intrusive Forensic Detection Method Using DSWT with Reduced Feature Set for Copy-Move Image Tampering

Author:

Thirunavukkarasu V.,Satheesh Kumar J.,Chae Gyoo Soo,Kishorkumar J.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference27 articles.

1. Mahdian, B., & Saic, S. (2010). A bibliography on blind methods for identifying image forgery. Signal Processing and Image Communication, 25(6), 389–399.

2. Satheeshkumar, J., & Thirunavukkarasu, V. (2014). Passive tamper detection techniques in digital images-A survey. NCDS, pp. 237–244.

3. Thirunavukkarsu, V., & Satheesh Kumar, J. (2014). Analysis of digital image forgery detection techniques. International Conference on Convergence Technology, 4(1), 1000–1002.

4. Thirunavukkarsu, V., & Satheesh Kumar, J. (2014). Intrusive and non-intrusive techniques for detecting fake images. IJBI, 3(1), 374–379.

5. Farid, H. (2009). A survey of image forgery detection. IEEE Signal Processing, 2(26), 6–25.

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