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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/25343

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/25343

    Title: Robust image hashing using non-uniform sampling in discrete Fourier domain
    Authors: Qin, Chuan;張真誠;Chang, Chin-Chen;Tso, Pei-Ling
    Contributors: 資訊工程學系
    Keywords: Image hashing;Fourier transform;Non-uniform sampling;Robustness;Anti-collision;Security
    Date: 2013-03
    Issue Date: 2013-07-11 14:18:21 (UTC+8)
    Abstract: This paper proposes a robust image hashing method in discrete Fourier domain that can be applied in such fields as image authentication and retrieval. In the pre-processing stage, image resizing and total variation based filtering are first used to regularize the input image. Then the secondary image is obtained by the rotation projection, and the robust frequency feature is extracted from the secondary image after discrete Fourier transform. More sampling points are chosen from the low- and middle-frequency component to represent the salient content of the image effectively, which is achieved by the non-uniform sampling. Finally, the intermediate sampling feature vectors are scrambled and quantized to produce the resulting binary hash securely. The security of the method depends entirely on the secret key. Experiments are conducted to show that the present method has satisfactory robustness against perceptual content-preserving manipulations and has also very low probability for collision of the hashes of distinct images.
    Relation: DIGITAL SIGNAL PROCESSING, V.23 N.2 : 578–585.
    Appears in Collections:[資訊工程學系] 期刊論文

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