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Geometrically Invariant Image Watermarking Using Histogram Adjustment

Geometrically Invariant Image Watermarking Using Histogram Adjustment

Zhuoqian Liang, Bingwen Feng, Xuba Xu, Xiaotian Wu, Tao Yang
Copyright: © 2018 |Volume: 10 |Issue: 1 |Pages: 13
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781522543602|DOI: 10.4018/IJDCF.2018010105
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MLA

Liang, Zhuoqian, et al. "Geometrically Invariant Image Watermarking Using Histogram Adjustment." IJDCF vol.10, no.1 2018: pp.54-66. http://doi.org/10.4018/IJDCF.2018010105

APA

Liang, Z., Feng, B., Xu, X., Wu, X., & Yang, T. (2018). Geometrically Invariant Image Watermarking Using Histogram Adjustment. International Journal of Digital Crime and Forensics (IJDCF), 10(1), 54-66. http://doi.org/10.4018/IJDCF.2018010105

Chicago

Liang, Zhuoqian, et al. "Geometrically Invariant Image Watermarking Using Histogram Adjustment," International Journal of Digital Crime and Forensics (IJDCF) 10, no.1: 54-66. http://doi.org/10.4018/IJDCF.2018010105

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Abstract

In this article, a blind image watermarking scheme, which is a robust against common image processing and geometric attacks is proposed by adopting the concept of histogram-based embedding. The average filter is employed to low-pass pre-filter the host image. The watermark bits are embedded into the histogram of the low-frequency component and the template bits are embedded in the high-frequency residual. The embedding is performed by adjusting the value of two consecutive histogram bins. Furthermore, a post-quantization is employed after the embedding round to improve robustness. All pixel modifications incurred are based on the human visual system (HVS) characteristics. As a result, a good tradeoff between robustness and imperceptibility is achieved. Experimental results reported the satisfactory performance of the proposed scheme with respect to both common image processing and geometric attacks.

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