multiCMFD
Author:
Affiliation:
1. National Institute of Technology, Silchar, India, Silchar, Assam
2. Indian Institute of Technology, Guwahati, India, Guwahati, Assam
Publisher
ACM Press
Reference22 articles.
1. Rajib Kumar Jha, Badal Soni, and Kiyoharu Aizawa. 2013. Logo extraction from audio signals by utilization of internal noise. IETE Journal of Research, 59, 3, 270--279.
2. Rajib Kumar Jha, Badal Soni, Rajlaxmi Chouhan, and Kiyoharu Aizawa. 2012. Improved Watermark Extraction from Audio Signals by Scaling of Internal Noise in DCT Domain, Springer Berlin Heidelberg, Berlin, Heidelberg, 235--243.
3. I. Amerini, L. Ballan, R. Caldelli, A. Del Bimbo, and G. Serra. 2011. A sift-based forensic method for copy-move attack detection and transformation recovery. IEEE Transactions on Information Forensics and Security. 6, 3(Sept 2011), 1099--1110.
4. J. Fridrich, D. Soukal, and J. Lukas. Detection of copy-move forgery in digital images. 2003. In Proceedings of Digital Forensic Research Workshop.
5. Kunlun Li, Hexin Li, Bo Yang, Qi Meng, and Shangzong Luo. 2014. Detection of Image Forgery Based on Improved PCA-SIFT, Springer International Publishing, 2014, 679--686.
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