Fractional Charlier moments for image reconstruction and image watermarking

M Yamni, A Daoui, H Karmouni, M Sayyouri, H Qjidaa… - Signal Processing, 2020 - Elsevier
In this paper, we propose a new set of discrete orthogonal polynomials called fractional
Charlier polynomials (FrCPs). This new set will be used as a basic function to define the …

Efficient watermarking algorithm for digital audio/speech signal

M Yamni, H Karmouni, M Sayyouri, H Qjidaa - Digital Signal Processing, 2022 - Elsevier
Ensuring conflicting requirements such as imperceptibility, payload capacity, and
robustness, becomes a great challenge for a robust audio/speech watermarking algorithm …

A novel image encryption method based on fractional discrete Meixner moments

H Karmouni, M Sayyouri, H Qjidaa - Optics and Lasers in Engineering, 2021 - Elsevier
In order to improve the performance of the Meixner moments, we suggest in this article a
new set of Fractional Discrete Meixner Polynomials (FrDMPs), a sort of a generalization of …

Unsupervised spatial self-similarity difference-based change detection method for multi-source heterogeneous images

L Zhu, W Sun, D Fan, H **ng, X Liu - Pattern Recognition, 2024 - Elsevier
Multi-source heterogeneous change detection has been widely used in dynamic disaster
monitoring, land cover updating, etc. Various methods have been proposed to make …

Efficient methods for signal processing using Charlier moments and artificial bee Colony algorithm

A Daoui, H Karmouni, M Sayyouri, H Qjidaa - Circuits, Systems, and Signal …, 2022 - Springer
In this paper, we propose efficient methods for the reconstruction, compression, compressive
sensing (CS) and encryption of 1D signals. The proposed reconstruction method is based …

[HTML][HTML] Implementation of a steganography system based on hybrid square quaternion moment compression in iomt

MA Tahiri, A Bencherqui, H Karmouni… - Journal of King Saud …, 2023 - Elsevier
Abstract Internet of Medical Things (IoMT) systems generate medical data transmissions
between patients, medical experts, and medical centers over public networks, which require …

Fast and accurate computation of 3D Charlier moment invariants for 3D image classification

M Yamni, A Daoui, O El Ogri, H Karmouni… - Circuits, Systems, and …, 2021 - Springer
The problem of 3D digital object invariability is encountered in image processing, especially
in pattern classification/recognition. The 3D object should be correctly recognized …

New set of fractional-order generalized Laguerre moment invariants for pattern recognition

O El Ogri, A Daoui, M Yamni, H Karmouni… - Multimedia Tools and …, 2020 - Springer
This article presents a new series of invariant moments, called Fractional-order Generalized
Laguerre Moment Invariants (FGLMI), based on Fractional-order Generalized Laguerre …

[HTML][HTML] 3D object recognition using fast overlapped block processing technique

BM Mahmmod, SH Abdulhussain, MA Naser… - Sensors, 2022 - mdpi.com
Three-dimensional (3D) image and medical image processing, which are considered big
data analysis, have attracted significant attention during the last few years. To this end …

Blind image zero-watermarking algorithm based on radial krawtchouk moments and chaotic system

M Yamni, H Karmouni, A Daoui… - … and Computer Vision …, 2020 - ieeexplore.ieee.org
Image watermarking systems are frequently used tools for copyright protection against
unauthorized use of images in unsecured spaces. The conventional method is to embed a …