RST-invariant digital image watermarking based on log-polar mapping and phase correlation

RST-invariant digital image watermarking based on log-polar mapping and phase correlation (2003)

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by Dong Zheng , Student Member , Jiying Zhao , Abdulmotaleb El Saddik , Senior Member Ieee

Venue:	IEEE Trans. Circuits Syst. Video Technol
Citations:	14 - 0 self

BibTeX

@INPROCEEDINGS{Zheng03rst-invariantdigital,
    author = {Dong Zheng and Student Member and Jiying Zhao and Abdulmotaleb El Saddik and Senior Member Ieee},
    title = {RST-invariant digital image watermarking based on log-polar mapping and phase correlation},
    booktitle = {IEEE Trans. Circuits Syst. Video Technol},
    year = {2003},
    pages = {753--765}
}

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Abstract

Abstract — Based on log-polar mapping and phase correlation, this paper presents a novel digital image watermarking scheme that is invariant to rotation, scaling, and translation (RST). We embed watermark in the log-polar mappings of Fourier magnitude spectrum of original image, and use the phase correlation between the LPM of the original image and the LPM of the watermarked image to calculate the displacement of watermark positions in LPM domain. The scheme preserves the image quality by avoiding computing inverse log-polar mapping (ILPM), and produces smaller correlation coefficient for unwatermarked images by using phase correlation to avoid exhaustive search. The evaluations demonstrate that the scheme is invariant to rotation and translation, invariant to scaling when the scale is in a reasonable range, and very robust to JPEG compression. Keywords — digital image watermarking RST invariant Fourier-Mellin Transform LPM ILPM cross-power spectrum phase correlation I.

Keyphrases

phase correlation log-polar mapping rst-invariant digital image original image inverse log-polar mapping exhaustive search novel digital image correlation coefficient fourier magnitude spectrum reasonable range jpeg compression lpm domain watermark position unwatermarked image watermarked image keywords digital image image quality