Fractional Charlier moments for image reconstruction and image watermarking
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 …
Charlier polynomials (FrCPs). This new set will be used as a basic function to define the …
Stable computation of higher order Charlier moments for signal and image reconstruction
The computation of high-order discrete orthogonal moments is very complex and unstable
due to fluctuations in numerical polynomial values. In this paper, we will present new …
due to fluctuations in numerical polynomial values. In this paper, we will present new …
Optimal 3D object reconstruction and classification by separable moments via the Firefly algorithm
The 3D Hahn-Hahn-Charlier moments (HHCMs) are a novel collection of 3D separable
Discrete Orthogonal Moments (DOM) that we introduce in this paper for the purpose of using …
Discrete Orthogonal Moments (DOM) that we introduce in this paper for the purpose of using …
On computational aspects of high-order dual Hahn moments
In this paper, we present two new algorithms for the fast and stable computation of high-
order discrete orthogonal dual Hahn polynomials (DHPs). These algorithms are essentially …
order discrete orthogonal dual Hahn polynomials (DHPs). These algorithms are essentially …
Optimal reconstruction and compression of signals and images by Hahn moments and artificial bee Colony (ABC) algorithm
In this paper, we present an efficient and optimal method for optimization of Hahn
parameters a and b using the Artificial Bee Colony algorithm (ABC) in order to improve the …
parameters a and b using the Artificial Bee Colony algorithm (ABC) in order to improve the …
Efficient methods for signal processing using Charlier moments and artificial bee Colony algorithm
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 …
sensing (CS) and encryption of 1D signals. The proposed reconstruction method is based …
Biomedical signals reconstruction and zero-watermarking using separable fractional order Charlier–Krawtchouk transformation and sine cosine algorithm
In this paper, we present a novel discrete orthogonal transformation called the separable
Charlier-Krawtchouk transformation of fractional order (FrCKTs). This bivariate …
Charlier-Krawtchouk transformation of fractional order (FrCKTs). This bivariate …
New algorithm for large-sized 2D and 3D image reconstruction using higher-order Hahn moments
Discrete orthogonal moments such as Hahn moments are powerful tools for image analysis,
especially for the reconstruction of 2D and 3D images. Several methods have been …
especially for the reconstruction of 2D and 3D images. Several methods have been …
New set of fractional-order generalized Laguerre moment invariants for pattern recognition
This article presents a new series of invariant moments, called Fractional-order Generalized
Laguerre Moment Invariants (FGLMI), based on Fractional-order Generalized Laguerre …
Laguerre Moment Invariants (FGLMI), based on Fractional-order Generalized Laguerre …
Optimized quaternion radial Hahn Moments application to deep learning for the classification of diabetic retinopathy
This paper proposes a new hybrid method of classification of fundus images provided by the
Asia–Pacific Tele-Ophthalmology Society via combining the discrete moment quaternion …
Asia–Pacific Tele-Ophthalmology Society via combining the discrete moment quaternion …