Image-feature-based robust digital watermarking scheme

Chih Wei Tang*, Hsueh-Ming Hang


    研究成果: Conference article同行評審

    1 引文 斯高帕斯(Scopus)


    A novel robust digital image watermarking scheme which combines image feature extraction and image normalization is proposed. The goal is to resist both geometrical and signal processing attacks. We adopt a feature extraction method called Mexican Hat wavelet scale interaction. The extracted feature points can survive various attacks such as common signal processing, JPEG compression, and geometric distortions. Thus, these feature points can be used as reference points for both watermark embedding and detection. The normalized image of a rotated image (object) is the same as the normalized version of the original image. As a result, the watermark detection task can be much simplified when it is done on the normalized image without referencing to the original image. However, because image normalization is sensitive to image local variation, we apply image normalization to non-overlapped image disks separately. The center of each disk is an extracted feature point. Several copies of one 16-bit watermark sequence are embedded in the original image to improve the robustness of watermarks. Simulation results show that our scheme can survive low quality JPEG compression, color reduction, sharpening, Gaussian filtering, median filtering, printing and scanning process, row or column removal, shearing, rotation, scaling, local warping, cropping, and linear transformation.

    頁(從 - 到)584-595
    期刊Proceedings of SPIE - The International Society for Optical Engineering
    出版狀態Published - 19 1月 2002
    事件Security and Watermarking of Multimedia Contents IV - San Jose, CA, United States
    持續時間: 21 1月 200224 1月 2002


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