Conference Paper

Image Watermarking based on Genetic Algorithm.

Hebei Normal University, Chentow, Hebei, China
DOI: 10.1109/ICME.2006.262731 Conference: Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, ICME 2006, July 9-12 2006, Toronto, Ontario, Canada
Source: DBLP


In order to improve the robustness and imperceptibleness of the image spread spectrum watermark algorithm, a new approach for optimization in 8×8 DCT domain using genetic algorithm (GA) was proposed. GA was used to choose the AC coefficients, which were modified to embed the spread spectrum watermark. The bands were varied to find the most suitable for image with different characteristics. Performance improvement with respect to existing algorithm is obtained by GA adaptive global search. The experimental results show that the proposed algorithm yields a watermark that is invisible to human eyes and robust to various image manipulation, and show that some special positions are the best choices for embedding the watermark. The authors also compare their experimental results with the results of the previous work of others.

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    • "These algorithms were capable of extracting the watermark but suffered from the problems of unsatisfactory values of fidelity and robustness to various attacks concentrated in these papers. Zhicheng Wei et al [17] proposed an algorithm that yielded a watermark that is invisible to human eyes and robust to various image manipulation, and the results showed that only some specific positions were the best choices for embedding the watermark. The authors applied GA to train the frequency set for embedding the watermark and compared their approach with the Cox's method [10] to prove robustness. "
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    ABSTRACT: This paper proposes a new optimization method for digital images in the Discrete Wavelet Transform (DWT) domain. Digital image watermarking has proved its efficiency in protecting illegal authentication of data. The amplification factor of the watermark is the significant parameter that helps in improving the perceptual transparency and robustness against attacks. The tradeoff between the transparency and robustness is considered as an optimization problem and is solved by applying Genetic Algorithm. The experimental results of this approach prove to be secure and robust to filtering attacks, additive noise, rotation, scaling, cropping and JPEG compression. The Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), and computational time are evaluated for a set of images obtained from the Tampere University of Technology, Finland using the MATLAB R2008b software.
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    ABSTRACT: In this paper, a hybrid watermarking technique applied to digital images is proposed. A watermarking technique is to insert copyright information into digital images that the ownerships can be declared. A fundamental problem for embedding watermarks is that the ways of pursuing transparency and robustness are always trade-off. To solve this problem, a hybrid watermarking technique is proposed to improve the similarity of extracted watermarks. In the proposed technique, the parameters of perceptual lossless ratio (PLR) for two complementary watermark modulations are first derived. Furthermore, a hybrid algorithm based on genetic algorithm (GA) and particle swarm optimization (PSO) is simultaneously performed to find the optimal values of PLR instead of heuristics. From simulation results, it shows the superiority of the proposed hybrid watermarking technique for digital images.
    Applied Soft Computing 01/2008; 8(1-8):798-808. DOI:10.1016/j.asoc.2007.03.011 · 2.81 Impact Factor
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    ABSTRACT: Watermarking methods in transform domains are usually achieved using the discrete cosine transform or the discrete wavelet transform. In this paper, we develop a technique for optimizing the image watermarking using the genetic algorithm applied to the double-density dual-tree discrete wavelet transform which improves the quality of the watermarked image and the robustness of watermark. We employ, genetic algorithm based embedding schemes namely surrounding mean and zero tree embedding approach. The detection process can be performed without using the original image. The experimental results demonstrate that the watermark is robust to attacks.
    Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on; 10/2008
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