Fragile Watermarking Based on LBP for Blind Tamper Detection in Images


Heng Zhang, Chengyou Wang, Xiao Zhou, Journal of Information Processing Systems
Vol. 13, No. 2, pp. 385-399, Apr. 2017
10.3745/JIPS.03.0070
Keywords: fragile watermarking, Local Binary Pattern (LBP), Least Significant Bit (LSB), Tamper Detection and Localization
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Abstract

Nowadays, with the development of signal processing technique, the protection to the integrity and authenticity of images has become a topic of great concern. A blind image authentication technology with high tamper detection accuracy for different common attacks is urgently needed. In this paper, an improved fragile watermarking method based on local binary pattern (LBP) is presented for blind tamper location in images. In this method, a binary watermark is generated by LBP operator which is often utilized in face identification and texture analysis. In order to guarantee the safety of the proposed algorithm, Arnold transform and logistic map are used to scramble the authentication watermark. Then, the least significant bits (LSBs) of original pixels are substituted by the encrypted watermark. Since the authentication data is constructed from the image itself, no original image is needed in tamper detection. The LBP map of watermarked image is compared to the extracted authentication data to determine whether it is tampered or not. In comparison with other state-of-the-art schemes, various experiments prove that the proposed algorithm achieves better performance in forgery detection and location for baleful attacks.


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Cite this article
[APA Style]
Heng Zhang, Chengyou Wang, & Xiao Zhou (2017). Fragile Watermarking Based on LBP for Blind Tamper Detection in Images . Journal of Information Processing Systems, 13(2), 385-399. DOI: 10.3745/JIPS.03.0070.

[IEEE Style]
H. Zhang, C. Wang and X. Zhou, "Fragile Watermarking Based on LBP for Blind Tamper Detection in Images ," Journal of Information Processing Systems, vol. 13, no. 2, pp. 385-399, 2017. DOI: 10.3745/JIPS.03.0070.

[ACM Style]
Heng Zhang, Chengyou Wang, and Xiao Zhou. 2017. Fragile Watermarking Based on LBP for Blind Tamper Detection in Images . Journal of Information Processing Systems, 13, 2, (2017), 385-399. DOI: 10.3745/JIPS.03.0070.