Robust object-based watermarking scheme via shape self-similarity segmentation

Authors:
Yu-Kuen Ho;Mei-Yi Wu
Affiliations:
Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, ROC;Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, ROC and Department of Information Management, Chang Jung University, 396 Chang Jung Rd. Sec. 1, Kway Jeng, Tai ...
Venue:
Pattern Recognition Letters
Year:
2004

Citing 7
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Abstract

This study proposes a new object-based watermarking scheme based on efficient self-similarity segmentation in the spatial domain for solving the synchronizing detection problem. The lengths and orientations of two principle axes of image objects were used for image normalization and shape segmentation. Watermarks then can be embedded into object images by adjusting the pixel intensities on each segmented region. Experimental results reveal that the proposed method effectively resists geometrical attacks without using the original image.