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An optimized watermarking technique based on self-adaptive DE in DWT-SVD transform domain

Published: 01 January 2014 Publication History

Abstract

The performance of differential evolution (DE) algorithm is significantly affected by its parameters setting that are highly problem dependent. In this paper, an optimal discrete wavelet transform-singular value decomposition (DWT-SVD) based image watermarking scheme using self-adaptive differential evolution (SDE) algorithm is presented. SDE adjusts the mutation factor F and the crossover rate Cr dynamically in order to balance an individual's exploration and exploitation capability for different evolving phases. Two-level DWT is applied to the cover image to transform it into sub-bands of different frequencies and then apply the SVD to each sub-band at level second. After applying one-level DWT to the watermark and subsequent application of SVD, the principal components of each sub-band are properly scaled down by multiplying with different scaling factors to make the watermark invisible. These scaled principal components are inserted into the singular value matrix of the corresponding blocks of the host image. The scaling factors are optimized using the self-adaptive DE algorithm to obtain the highest possible robustness with better imperceptibility. Experimental results show that the proposed scheme maintains a satisfactory image quality and watermark can still be identified after various attacks even though the watermarked image is seriously distorted.

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    Published In

    cover image Signal Processing
    Signal Processing  Volume 94, Issue
    January, 2014
    704 pages

    Publisher

    Elsevier North-Holland, Inc.

    United States

    Publication History

    Published: 01 January 2014

    Author Tags

    1. Discrete wavelet transform
    2. Image watermarking
    3. Self-adaptive differential evolution
    4. Singular value decomposition

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    • (2022)A DWT-SVD Adaptive Digital Watermarking Algorithm Based on Chaotic EncryptionProceedings of the 2022 6th International Conference on Video and Image Processing10.1145/3579109.3579141(173-181)Online publication date: 23-Dec-2022
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