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    Local feature based geometric-resistant image information hiding

    Gao, X. and Deng, C. and Li, Xuelong and Tao, D. (2010) Local feature based geometric-resistant image information hiding. Cognitive Computation 2 (2), pp. 68-77. ISSN 1866-9956.

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    Abstract

    Watermarking aims to hide particular information into some carrier but does not change the visual cognition of the carrier itself. Local features are good candidates to address the watermark synchronization error caused by geometric distortions and have attracted great attention for content-based image watermarking. This paper presents a novel feature point-based image watermarking scheme against geometric distortions. Scale invariant feature transform (SIFT) is first adopted to extract feature points and to generate a disk for each feature point that is invariant to translation and scaling. For each disk, orientation alignment is then performed to achieve rotation invariance. Finally, watermark is embedded in middle-frequency discrete Fourier transform (DFT) coefficients of each disk to improve the robustness against common image processing operations. Extensive experimental results and comparisons with some representative image watermarking methods confirm the excellent performance of the proposed method in robustness against various geometric distortions as well as common image processing operations.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): visual cognition, image watermarking, scale invariant feature transform, orientation alignment, discrete Fourier transform
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 20 Jun 2013 09:57
    Last Modified: 11 Oct 2016 15:27
    URI: https://eprints.bbk.ac.uk/id/eprint/7516

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