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A Technique to Find Optimal Location for Wavelet-Based Image Watermarking Using Genetic Algorithm

Todmal Satish R., Thammi Reddy K.

Machine Graphics and Vision

2011

Vol. 20, No. 2

173-196

In this paper we developed an efficient optimal robust watermarking technique using genetic algorithm (GA) for images of Indian historical monuments and their corresponding names. The watermarks are embedded into the HL and LH frequency coefficients in the Haar wavelet transform domain. Since the embedding technique is blind, it does not require the original image in the watermark extraction. We also develop an optimization technique using the GA to search for the optimal locations in order to improve both quality of watermarked image and robustness of the watermark. We analyze the performance of the proposed watermarking technique in terms of peak signal-to-noise ratio (PSNR) and normalized correlation (NC). The experimental and the comparative results show that the proposed technique can achieve a good robustness against most of the attacks which are included in this study. For typical image quality, the proposed technique outperforms the existing one with a PSNR of 36 dB and the NC value of 0.96.

Improving Digital Watermarking Fidelity Using Fast Neural Network for Adaptive Wavelet Synthesis

Stolarek J., Lipiński P.

Journal of Applied Computer Science

2010

Vol. 18, nr 1

61-74

This paper introduces a new adaptive algorithm for digital watermark embedding in wavelet domain. The proposed algorithm performs adaptive mother wavelet synthesis based on a low frequency component energy maximization. The algorithm is based on an orthogonal neural network. We demonstrate that the presented adaptive method can improve both the correlation between an extracted watermark and an embedded watermark, as well as the fidelity of an image. The proposed algorithm is applied to improve well known wavelet based embedding algorithms.