Browsing by Author "Bekkouche, Tewfik"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Image restoration using proximal-splitting methods
    (University of Eloued جامعة الوادي, 2022-01-24) Diffellah, Nacira; Hamdini, Rabah; Bekkouche, Tewfik
    In this paper, we focus on giving two fixed-point-like methods, using proximal operators, called forward-backward and Douglas-Rachford, for solving the restoration problem for grayscale images corrupted with Gaussian noise model. We discuss how to evaluate proximal operators and provide an example in reconstructed image. The main idea is to choose the classic variational model TV L1 for recovering a true image u from an observed image f contaminated with Gaussian noise. The objective function is a sum of two convex terms: the `1-norm data fidelity and the total variational regularization. The first term forces the final image to be not too far away from the initial image and the second term performs actually the noise reduction. Experimental results prove the efficiency of the proposed work by performing some test by changing the noise levels applied to different images. We notice that the Peak Signal-to-Noise Ratio (PSNR) is used to evaluate the quality of the restored images.
  • No Thumbnail Available
    Item
    New Method for Image Encryption Using GOST And Chaotic Tent Map
    (University of Eloued جامعة الوادي, 2022-01-24) Yahi, Amina; Bekkouche, Tewfik; Diffellah, Nacira
    This research paper proposes a simple and an efficient image encryption scheme based on chaotic tent map and GOST algorithm, which is the Russian norm of encryption. The tent chaotic system was used to generate chaotic random keys, as well as a chaotic shift values that used in the GOST algorithm, in order to provide security as a higher strength. The obtained simulation results prove the performances of the proposed method in term of histograms analysis data loss and sensitivity test.