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
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