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Kahlessenane Fares

Bio: Kahlessenane Fares is an academic researcher. The author has contributed to research in topics: Digital watermarking & Watermark. The author has an hindex of 3, co-authored 4 publications receiving 53 citations.

Papers
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Journal ArticleDOI
01 Apr 2020-Optik
TL;DR: The obtained results show that the approach offers good imperceptibility and generates watermarking images robust against various attacks with a high-quality watermark.

102 citations

Journal ArticleDOI
TL;DR: Experimental results shows that the proposed methods maintain a high quality watermarked images and are very robust against several conventional attacks.

55 citations

Journal ArticleDOI
TL;DR: Two new substitution schemes for digital audio watermarking based on the Fourier transform are proposed and show that this approach offers good imperceptibility and generates watermarked audio sample robust against various attacks with a high-quality watermark.

44 citations

Journal ArticleDOI
TL;DR: An evaluation of the watermark’s robustness demonstrates that the proposed schemes generate reasonably robust watermarked samples against various attacks with a high-quality watermark with normalized cross-correlation greater than 0.9 for the three insertion domains.
Abstract: In order to protect audio files, we propose in this paper a new integration scheme for blind audio file watermarking. The goal is to find a compromise between capacity and imperceptibility in order...

14 citations


Cited by
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Journal ArticleDOI
TL;DR: Experimental results shows that the proposed methods maintain a high quality watermarked images and are very robust against several conventional attacks.

55 citations

Journal ArticleDOI
TL;DR: A blind and robust watermarking technique that allows the integration of the electronic patient’s record into a computerized tomography scan and offers excellent imperceptibility and very good robustness against several geometric and destructive attacks is presented.
Abstract: In order to contribute to the security of medical image, we present in this paper a blind and robust watermarking technique that allows the integration of the electronic patient’s record into a computerized tomography scan. In this approach, a discrete wavelet transform is applied to the image before the integration process, then, a topological reorganization of the coefficients of the LL sub-bands is done by the ZigZag scanning method. The obtained coefficients are then combined to integrate the watermark bits. A hash of the electronic patient record being integrated in the image, the integrity of the watermark can easily be verified. After the evaluation of our approach in terms of invisibility and robustness, the experimental results obtained show that our approach offers excellent imperceptibility (with a PSNR above 70 dB) and very good robustness against several geometric and destructive attacks.

47 citations

Journal ArticleDOI
TL;DR: In this article, a blind watermarking approach for medical image protection is proposed, which consists of the Electronic Patient Record and the image acquisition data, and the watermark is then integrated into the least significant bits of the S component obtained by combining the parity of the successive coefficients.

45 citations

Journal ArticleDOI
TL;DR: Two new substitution schemes for digital audio watermarking based on the Fourier transform are proposed and show that this approach offers good imperceptibility and generates watermarked audio sample robust against various attacks with a high-quality watermark.

44 citations

Journal ArticleDOI
TL;DR: The proposed blind and robust approach for medical image protection consists in embedding patient information and image acquisition data in the image and the integration was performed in the medium frequencies of the image.
Abstract: In order to enhance the security of exchanged medical images in telemedicine, we propose in this paper a blind and robust approach for medical image protection. This approach consists in embedding patient information and image acquisition data in the image. This imperceptible integration must generate the least possible distortion. The watermarked image must present the same clinical reading as the original image. The proposed approach is applied in the frequency domain. For this purpose, four transforms were used: discrete wavelets transform, non-subsampled contourlet transform, non-subsampled shearlet transform and discreet cosine transform. All these transforms was combined with Schur decomposition and the watermark bits were integrated in the upper triangular matrix. To obtain a satisfactory compromise between robustness and imperceptibility, the integration was performed in the medium frequencies of the image. Imperceptibility and robustness experimental results shows that the proposed methods maintain a high quality of watermarked images and are remarkably robust against several conventional attacks.

38 citations