A New Image Watermarking Algorithm Using NSCT and Harris Detector in Green Manufacturing

Abstract:

Based on multistage theory and NSCT, a new feature-based image watermarking scheme is proposed in this paper. Firstly, the multistage Harris detector is utilized to extract steady feature points from the host image; then, the local feature regions (LFR) are ascertained adaptively according to the feature scale theory, and they are scaled to a standard size; finally, the digital watermark are embedded into no subsample contour let low frequency area, in the low frequency regions made pseudo-Zernike moment calculation. Experimental results show that the proposed scheme is not only invisible and robust against common signals processing such as median filtering, sharpening, noise adding and JPEG compression et al, but also robust against the unclassified geometric attacks such as rotation, translation, scaling, row or column removal, shearing, local geometric distortion and combination attacks et al.

• Periodical: Applied Mechanics and Materials (Volume 340)
• Pages: 277-282
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.340.277
• Online since: July 2013
• Authors: Dan Dan Zhu, Xiu Ping Zhang, You Liang Zhang, Jun Bo Dai
• Keywords: Feature Points, Green Manufacturing, Mage Watermarking, Pseudo-Zernike Moments

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