6533b872fe1ef96bd12d2f4b
RESEARCH PRODUCT
Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform
Mohammed El HassouniMohamed El HazitiHocine CherifiMohamed Hamidisubject
FOS: Computer and information sciencesComputer Science - Cryptography and SecurityComputer Networks and CommunicationsComputer scienceMultiple Watermarking02 engineering and technologyDiscrete Fourier transformImage (mathematics)Digital imageDiscrete Fourier transform (DFT)SchemeRobustness (computer science)Quantization0202 electrical engineering electronic engineering information engineeringMedia TechnologyDiscrete cosine transformHybrid method[INFO]Computer Science [cs]Digital watermarkingDiscrete cosine transform (DCT)DistanceImage watermarking020207 software engineeringWatermarkMultimedia (cs.MM)Hardware and ArchitectureMedical ImagesEmbedding020201 artificial intelligence & image processingArnold transformWavelet DomainSvdCryptography and Security (cs.CR)AlgorithmCopyright protectionSoftwareComputer Science - Multimediadescription
In this paper, a robust blind image watermarking method is proposed for copyright protection of digital images. This hybrid method relies on combining two well-known transforms that are the discrete Fourier transform (DFT) and the discrete cosine transform (DCT). The motivation behind this combination is to enhance the imperceptibility and the robustness. The imperceptibility requirement is achieved by using magnitudes of DFT coefficients while the robustness improvement is ensured by applying DCT to the DFT coefficients magnitude. The watermark is embedded by modifying the coefficients of the middle band of the DCT using a secret key. The security of the proposed method is enhanced by applying Arnold transform (AT) to the watermark before embedding. Experiments were conducted on natural and textured images. Results show that, compared with state-of-the-art methods, the proposed method is robust to a wide range of attacks while preserving high imperceptibility.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-10-01 |