Performance Factors Analysis of a Wavelet-based Watermarking Method
Woo, Chaw-Seng, Du, Jiang, & Pham, Binh L. (2005) Performance Factors Analysis of a Wavelet-based Watermarking Method. In Buyya, Rajkumar, Coddington, Paul, Montague, Paul, Safavi-Naini, Rei, Sheppard, Nicholas, & Wendelborn, Andrew (Eds.) 3rd Australasian Information Security Workshop (AISW 2005), 2 February 2005, Australia, NSW, Newcastle.
The essential performance metrics of a robust watermark include robustness, imperceptibility, watermark capacity and security. In addition, computational cost is important for practicality. Wavelet-based image watermarking methods exploit the frequency information and spatial information of the transformed data in multiple resolutions to gain robustness. Although the Human Visual System (HVS) model offers imperceptibility in wavelet-based watermarking, it suffers high computational cost. In this paper, we examine embedding strength determined by a HVS model, a constant, and a simplified technique. The proposed simplified embedding technique significantly reduces embedding time while preserving the performance of imperceptibility and robustness. The fast embedding technique exploits implicit features of discrete wavelet transform (DWT) sub-bands, i.e. the luminosity information in the low pass band, and the edge information in the high pass bands. It achieves embedding speed comparable to a constant energy embedding process. Robustness is demonstrated with a few conventional attacks, e.g. JPEG compression, Gaussian noise insertion, image cropping, contrast adjustment, median filtering, and global geometrical distortion. Experimental visual quality is measured in Weighted-Peak Signal to Noise Ratio (W-PSNR) for high accuracy. Robustness and imperceptibility of HVS-based embedding could be trade-off with computational simplicity of a fast embedding technique.
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|Item Type:||Conference Paper|
|Keywords:||robust image watermark, Human Visual System (HVS), Discrete Wavelet Transform (DWT), embedding technique|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2005 Australian Computer Society Inc|
|Copyright Statement:||Reproduced in accordance with the copyright policy of the publisher.|
|Deposited On:||16 Nov 2005|
|Last Modified:||29 Feb 2012 13:12|
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