DocumentCode :
3151296
Title :
Texture orientation modulation for halftoning watermarking
Author :
Guo, Jing-Ming ; Su, Chang-Cheng ; Liu, Yun-Fu
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
1813
Lastpage :
1816
Abstract :
In this paper, a halftoning-based watermarking scheme with high data capacity and image quality is presented. Three types of watermarks of various pixel-depths, including 1-bit, 2-bit, and 3-bit, are able to be embedded without prominently damaging the image quality. To achieve high marked image quality, the parallel-oriented high efficient Direct Binary Search (DBS) halftoning is adopted to cooperate with the proposed Orientation Modulation (OM) method. In the decoder, the Least-Mean-Square-trained (LMS-trained) filters are adopted to extract the features of marked images in the frequency domain, and the naïve Bayes classifier is employed to analyze the extracted features and further decode the watermark information. Experimental results demonstrate that the proposed DBS-based OM encoding scheme provides excellent image quality, high processing efficiency, and high robustness to adapt to practical printing application.
Keywords :
Bayes methods; feature extraction; filtering theory; image texture; image watermarking; least mean squares methods; modulation; pattern classification; DBS halftoning; LMS-trained filters; direct binary search; feature extraction; halftoning-based watermarking; high data capacity; image quality; least-mean-square-trained filters; naïve Bayes classifier; texture orientation modulation; Decoding; Feature extraction; Frequency domain analysis; Image quality; Q factor; Satellite broadcasting; Watermarking; Halftoning; LMS; halftone image classification; naïve Bayes classifier;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288253
Filename :
6288253
Link To Document :
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