A review of image fusion: Methods, applications and performance metrics

S Singh, H Singh, G Bueno, O Deniz, S Singh… - Digital Signal …, 2023 - Elsevier
The same sensor or a number of image sensors are used to take a series of photographs in
order to gather as much data as possible about the scene. Several imaging techniques are …

Fractional discrete Tchebyshev moments and their applications in image encryption and watermarking

B Xiao, J Luo, X Bi, W Li, B Chen - Information Sciences, 2020 - Elsevier
Abstract Discrete Tchebyshev moments (DTMs), as a kind of typical discrete orthogonal
moments, have been widely used in image analysis. However, the order of DTMs is …

Near infrared face recognition: A literature survey

S Farokhi, J Flusser, UU Sheikh - Computer Science Review, 2016 - Elsevier
As a primary modality in biometrics, human face recognition has been employed widely in
the computer vision domain because of its performance in a wide range of applications such …

Nirfacenet: A convolutional neural network for near-infrared face identification

M Peng, C Wang, T Chen, G Liu - Information, 2016 - mdpi.com
Near-infrared (NIR) face recognition has attracted increasing attention because of its
advantage of illumination invariance. However, traditional face recognition methods based …

Multi-channel versus quaternion orthogonal rotation invariant moments for color image representation

C Singh, J Singh - Digital Signal Processing, 2018 - Elsevier
Orthogonal rotation invariant moments (ORIMs) have been used in many pattern recognition
and image processing applications in the last three decades. Most of the applications relate …

Near infrared face recognition using Zernike moments and Hermite kernels

S Farokhi, UU Sheikh, J Flusser, B Yang - Information Sciences, 2015 - Elsevier
This work proposes a novel face recognition method based on Zernike moments (ZMs) and
Hermite kernels (HKs) to cope with variations in facial expression, changes in head pose …

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 …

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 …

Least square fitting for adaptive wavelet generation and automatic prediction of defect size in the bearing using Levenberg–Marquardt backpropagation

A Kumar, R Kumar - Journal of Nondestructive Evaluation, 2017 - Springer
In this communication, an attempt has been made to develop an algorithm for automatic
prediction of the size of the bearing defect during operation of a machine. Features for the …

Near-infrared coloring via a contrast-preserving mapping model

CH Son, XP Zhang - IEEE Transactions on Image Processing, 2017 - ieeexplore.ieee.org
Near-infrared gray images captured along with corresponding visible color images have
recently proven useful for image restoration and classification. This paper introduces a new …