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Robust Digital Watermarking Algorithm Based on DCT-SVD and QR Code

Published: 21 December 2020 Publication History

Abstract

Digital watermarking technology is an important technology for copyright protection. In practical applications, the robustness of digital watermarking technology is more demanding. In order to resist attacks and improve invisibility, a new data watermarking scheme is proposed. First, watermark local feature regions will be determined by an improved method which contains two steps: texture complexity roughly location and SIFT precisely location. Second, DCT transformation on these regions is applicated and a set of low frequency coefficients of chosen regions are selected to construct a DCT coefficient matrix. Last, SVD decomposition is performed on DCT coefficient matrix and a QR code carrying watermark information is embedded by the additive rule. The watermark detection algorithm is the reverse process of embedding. The experimental results show that the algorithm has good robustness to common attacks.

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    AIPR '20: Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition
    June 2020
    250 pages
    ISBN:9781450375511
    DOI:10.1145/3430199
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 December 2020

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    Author Tags

    1. DCT
    2. Digital watermark
    3. QR code
    4. Robustness
    5. SIFT
    6. SVD

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    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • Guangzhou Science and Technology Project
    • Discipline Project, Xinhua College of Sun Yat-sen University

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    AIPR 2020

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