LBP and DWT Based Fragile Watermarking for Image Authentication

Chengyou Wang, Heng Zhang and Xiao Zhou
Volume: 14, No: 3, Page: 666 ~ 679, Year: 2018
Keywords: Discrete Wavelet Transform (DWT), Fragile Watermarking, Image Authentication, Local Binary Pattern (LBP), Semi-blind Detection
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The discrete wavelet transform (DWT) has good multi-resolution decomposition characteristic and its low frequency component contains the basic information of an image. Based on this, a fragile watermarking using the local binary pattern (LBP) and DWT is proposed for image authentication. In this method, the LBP pattern of low frequency wavelet coefficients is adopted as a feature watermark, and it is inserted into the least significant bit (LSB) of the maximum pixel value in each block of host image. To guarantee the safety of the proposed algorithm, the logistic map is applied to encrypt the watermark. In addition, the locations of the maximum pixel values are stored in advance, which will be used to extract watermark on the receiving side. Due to the use of DWT, the watermarked image generated by the proposed scheme has high visual quality. Compared with other state-of-the-art watermarking methods, experimental results manifest that the proposed algorithm not only has lower watermark payloads, but also achieves good performance in tamper identification and localization for various attacks.

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Cite this article
IEEE Style
C. Wang, H. Zhang and X. Zhou, "LBP and DWT Based Fragile Watermarking for Image Authentication," Journal of Information Processing Systems, vol. 14, no. 3, pp. 666~679, 2018. DOI: 10.3745/JIPS.03.0096.

ACM Style
Chengyou Wang, Heng Zhang, and Xiao Zhou. 2018. LBP and DWT Based Fragile Watermarking for Image Authentication, Journal of Information Processing Systems, 14, 3, (2018), 666~679. DOI: 10.3745/JIPS.03.0096.