Oriented modulation for watermarking in direct binary search halftone images

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Jing-Ming GuoJiann-Der Lee

Abstract

In this paper, a halftoning-based watermarking method is presented. This method enables high pixel-depth watermark embedding, while maintaining high image quality. This technique is capable of embedding watermarks with pixel depths up to 3 bits without causing prominent degradation to the image quality. To achieve high image quality, the parallel oriented high-efficient direct binary search (DBS) halftoning is selected to be integrated with the proposed orientation modulation (OM) method. The OM method utilizes different halftone texture orientations to carry different watermark data. In the decoder, the least-mean-square-trained filters are applied for feature extraction from watermarked images in the frequency domain, and the naïve Bayes classifier is used to analyze the extracted features and ultimately to decode the watermark data. Experimental results show that the DBS-based OM encoding method maintains a high degree of image quality and realizes the processing efficiency and robustness to be adapted in printing applications.

References

Feb 5, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Sang Ho Kim, Jan P Allebach
Feb 8, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·M Mese, P P Vaidyanathan
Feb 12, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·D J Lieberman, J P Allebach
Mar 20, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jing-Ming Guo, Yun-Fu Liu
Mar 31, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Orhan BulanVishal Monga

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Citations

Jan 13, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jing-Ming GuoLi-Chung Chang

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