Polarimetric imaging through scattering media: A review
Imaging in scattering media has been a challenging and important subject in optical
science. In scattering media, the image quality is often severely degraded by the scattering …
science. In scattering media, the image quality is often severely degraded by the scattering …
Computational image encryption techniques: a comprehensive review
Images contain very sensitive and confidential information. Because images play a
significant role in many applications such as military communication, remote‐sensing, and …
significant role in many applications such as military communication, remote‐sensing, and …
Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays
The most widely used novel coronavirus (COVID-19) detection technique is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
A Machine Learning‐Based Big EEG Data Artifact Detection and Wavelet‐Based Removal: An Empirical Approach
The electroencephalogram (EEG) signals are a big data which are frequently corrupted by
motion artifacts. As human neural diseases, diagnosis and analysis need a robust …
motion artifacts. As human neural diseases, diagnosis and analysis need a robust …
Dw-gan: A discrete wavelet transform gan for nonhomogeneous dehazing
Hazy images are often subject to color distortion, blurring, and other visible quality
degradation. Some existing CNN-based methods have great performance on removing …
degradation. Some existing CNN-based methods have great performance on removing …
Deep neural network-based screening model for COVID-19-infected patients using chest X-ray images
There are limited coronavirus disease 2019 (COVID-19) testing kits, therefore, development
of other diagnosis approaches is desirable. The doctors generally utilize chest X-rays and …
of other diagnosis approaches is desirable. The doctors generally utilize chest X-rays and …
Multi-modality medical image fusion technique using multi-objective differential evolution based deep neural networks
The advancements in automated diagnostic tools allow researchers to obtain more and
more information from medical images. Recently, to obtain more informative medical …
more information from medical images. Recently, to obtain more informative medical …
Multiobjective evolutionary optimization techniques based hyperchaotic map and their applications in image encryption
Chaotic-based image encryption approaches have attracted great attention in the field of
information security. The properties of chaotic maps such as randomness and sensitivity …
information security. The properties of chaotic maps such as randomness and sensitivity …
[图书][B] Computer Vision and Recognition Systems: Research Innovations and Trends
This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Fusion of medical images using deep belief networks
Image fusion plays a significant role in various computer vision applications. However,
designing an efficient image fusion technique is still a challenging task. In this paper, a novel …
designing an efficient image fusion technique is still a challenging task. In this paper, a novel …