Image Authentication Using Local Binary Pattern on the Low Frequency Components-Reference-Cited by-同舟云学术

Image Authentication Using Local Binary Pattern on the Low Frequency Components

Published:2015-12-25 Issue: Volume: Page:529-537
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Srinivasa Rao Ch.,Tilak Babu S. B. G.

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-2728-1_49

Reference9 articles.

1. Y. Cao, T. Gao, L. Fan, Q. Yang, A robust detection algorithm for copy-move forgery in digital images. Forensic Sci. Int. 214(2012), 33–43 (2012)

2. G. Li, Q. Wu, D. Tu, S. Sun, A sorted neighborhood approach for detecting duplicated regions in image forgeries based on DWT and SVD, in Proceedings of IEEE International Conference on Multimedia and Expo. (2007), pp. 1750–1753

3. S. Khan, A. Kulkarni, An efficient method for detection of copy-move forgery using discrete wavelet transform. Int. J. Comput. Sci. Eng. 2(5), 1801–1806 (2010)

4. M. Ghorbani, M. Firouzmand, A. Faraahi, DWT-DCT (QCD) based copy move image forgery detection, In 18th International Conference on Systems, Signals and Image Processing (IWSSIP 2011) Sarajevo (2011), pp. 1–4

5. B. Yang, X. Sun, X. Chen, J. Zhang, X. Li, An efficient forensic method for copy-move forgery detection based on DWT-FWHT. Radio Eng. 22(4),(2013)

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