An efficient expanding block algorithm for image copy-move forgery detection

Author:

Lynch Gavin,Shih Frank Y.,Liao Hong-Yuan Mark

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference25 articles.

1. A SIFT-based forensic method for copy-move attack detection and transformation recovery;Amerini;IEEE Trans. Inform. Forensics Secur.,2011

2. S. Bayram, H.T. Sencar, N. Memon, A survey of copy-move forgery detection techniques, in: Proc. IEEE Western New York Image Processing Workshop, Rochester, NY, 2008.

3. A robust detection algorithm for copy-move forgery in digital images;Cao;Forensic Sci. Int.,2012

4. Statistical Inference;Casella,2001

5. An evaluation of popular copy-move forgery detection approaches;Christlein;IEEE Trans. Inform. Forensics Secur.,2012

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3. Enhanced copy-move forgery detection using deep convolutional neural network (DCNN) employing the ResNet-101 transfer learning model;Multimedia Tools and Applications;2023-06-24

4. Image Forgery Detection using Block Matching and K-Means Clustering Techniques;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01

5. Copy-Move Forgery Detection Based on Quaternion and LBP;2023 8th International Conference on Intelligent Computing and Signal Processing (ICSP);2023-04-21

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