The recent interest of face image manipulation detection has been directed towards providing the ability of detecting various types of manipulations. In the best scenario, the available methods can detect the manipulations and localize the manipulated face region. The ability of recovering the face region after manipulation localization will be very useful in practical applications, however, this has not been highlighted in the previous researches. In this paper, a new face image authentication (FIA) scheme is presented based on image watermarking and Cohen–Daubechies–Feauveau (CDF) wavelets. In the proposed scheme, the CDF is used to generate the recovery bits from the face region in order to be used for recovering the face region when manipulations exist. Several experiments have been conducted to evaluate the performance of the proposed scheme which proved its efficiency in generating high quality watermarked images, detecting various types of manipulations, localizing the manipulated blocks in the face region, and recovering the face region with good visual quality. The comparison with the state-of-the-art detection schemes proved the superiority of the proposed scheme.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Face Image Authentication Scheme Based on Cohen–Daubechies–Feauveau Wavelets


    Additional title:

    Lect. Notes Electrical Eng.



    Conference:

    International Conference on Robotics, Vision, Signal Processing and Power Applications ; 2021 April 05, 2021 - April 06, 2021



    Publication date :

    2024-03-31


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Image Processing with Complex Daubechies Wavelets

    Lina, J.-M. | British Library Online Contents | 1997



    One-dimensional finite elements based on the Daubechies family of wavelets

    Patton, Richard D. / Marks, Patrick C. | AIAA | 1996


    Class of Fibonacci-Daubechies-4-Haar wavelets with applicability to ECG denoising [5298-03]

    Smith, C. B. / Agaian, S. S. / Society for Imaging Science and Technology et al. | British Library Conference Proceedings | 2004