Genetic Watermarking for Zerotree-Based Applications |
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| Authors: | Shu-Chuan Chu Hsiang-Cheh Huang Yan Shi Ssu-Yi Wu Chin-Shiuh Shieh |
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| Affiliation: | (1) Department of Information Management, Cheng Shiu University, Kaohsiung, Taiwan, ROC;(2) Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, ROC;(3) School of Information Science, Kyushu Tokai University, Kumamoto, Japan;(4) Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, ROC |
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| Abstract: | An optimized scheme for watermarking based on zerotrees is proposed in this paper. Digital watermarking is an effective means
for protecting copyrights with three of the most fundamental requirements: watermark imperceptibility, watermark robustness,
and watermark capacity. Conventional techniques in the literature mainly perform watermark embedding and extraction processes
in the transform domain, including the discrete Fourier transform, discrete cosine transform, and discrete wavelet transform
domains. The three watermarking requirements above are in conflict with each other; therefore, finding a way to obtain a trade-off
among them is the major purpose of this paper. We first perform watermarking in the wavelet domain. Next, we properly select
zerotrees in a wavelet transform with the genetic algorithm. Our simulation results not only demonstrate better performances
of the watermarked images after optimization, but also reveal the robustness of the extracted watermarks under common attacks. |
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| Keywords: | Watermarking Zerotree Wavelet transform Genetic algorithm (GA) Optimization |
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