6533b7d8fe1ef96bd126af15

RESEARCH PRODUCT

A blind Robust Image Watermarking Approach exploiting the DFT Magnitude

Mohamed El HazitiMohamed HamidiHocine CherifiDriss Aboutajdine

subject

FOS: Computer and information sciencesComputer Science - Cryptography and SecurityComputer sciencebusiness.industryComputer Vision and Pattern Recognition (cs.CV)Gaussian blurComputer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWatermarkFilter (signal processing)Discrete Fourier transformsymbols.namesakeDigital imageGaussian noisesymbolsDiscrete cosine transformComputer visionArtificial intelligencebusinessDigital watermarkingCryptography and Security (cs.CR)Histogram equalization

description

Due to the current progress in Internet, digital contents (video, audio and images) are widely used. Distribution of multimedia contents is now faster and it allows for easy unauthorized reproduction of information. Digital watermarking came up while trying to solve this problem. Its main idea is to embed a watermark into a host digital content without affecting its quality. Moreover, watermarking can be used in several applications such as authentication, copy control, indexation, Copyright protection, etc. In this paper, we propose a blind robust image watermarking approach as a solution to the problem of copyright protection of digital images. The underlying concept of our method is to apply a discrete cosine transform (DCT) to the magnitude resulting from a discrete Fourier transform (DFT) applied to the original image. Then, the watermark is embedded by modifying the coefficients of the DCT using a secret key to increase security. Experimental results show the robustness of the proposed technique to a wide range of common attacks, e.g., Low-Pass Gaussian Filtering, JPEG compression, Gaussian noise, salt & pepper noise, Gaussian Smoothing and Histogram equalization. The proposed method achieves a Peak signal-to-noise-ration (PSNR) value greater than 66 (dB) and ensures a perfect watermark extraction.

yearjournalcountryeditionlanguage
2019-10-21
https://dx.doi.org/10.48550/arxiv.1910.11185