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Robust histogram shape-based method for image watermarking

journal contribution
posted on 2015-05-01, 00:00 authored by Tianrui Zong, Yong XiangYong Xiang, Iynkaran NatgunanathanIynkaran Natgunanathan, S Guo, Wanlei Zhou, Gleb BeliakovGleb Beliakov
Cropping and random bending are two common attacks in image watermarking. In this paper we propose a novel image-watermarking method to deal with these attacks, as well as other common attacks. In the embedding process, we first preprocess the host image by a Gaussian low-pass filter. Then, a secret key is used to randomly select a number of gray levels and the histogram of the filtered image with respect to these selected gray levels is constructed. After that, a histogram-shape-related index is introduced to choose the pixel groups with the highest number of pixels and a safe band is built between the chosen and nonchosen pixel groups. A watermark-embedding scheme is proposed to insert watermarks into the chosen pixel groups. The usage of the histogram-shape-related index and safe band results in good robustness. Moreover, a novel high-frequency component modification mechanism is also utilized in the embedding scheme to further improve robustness. At the decoding end, based on the available secret key, the watermarked pixel groups are identified and watermarks are extracted from them. The effectiveness of the proposed image-watermarking method is demonstrated by simulation examples.

History

Journal

IEEE Transactions on Circuits and Systems for Video Technology

Volume

25

Issue

5

Pagination

717 - 729

Publisher

IEEE

Location

New York, NY

ISSN

1051-8215

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2015, IEEE