Deep learning-based change detection in remote sensing images: A review
Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …
development of remote sensing (RS) technology. These images significantly enhance the …
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction
Purpose Due to the potential risk of inducing cancer, radiation exposure by X‐ray CT
devices should be reduced for routine patient scanning. However, in low‐dose X‐ray CT …
devices should be reduced for routine patient scanning. However, in low‐dose X‐ray CT …
Firefly algorithm and its variants in digital image processing: A comprehensive review
The significance and requirements of digital image processing arise from two main areas of
applications: the improvement of visual information for human interpretation and the …
applications: the improvement of visual information for human interpretation and the …
Optimized wavelet-based satellite image de-noising with multi-population differential evolution-assisted harris hawks optimization algorithm
NA Golilarz, M Mirmozaffari, TA Gashteroodkhani… - Ieee …, 2020 - ieeexplore.ieee.org
In this research, we propose to utilize the newly introduced Multi-population differential
evolution-assisted Harris Hawks Optimization Algorithm (CMDHHO) in the optimization …
evolution-assisted Harris Hawks Optimization Algorithm (CMDHHO) in the optimization …
Satellite image de-noising with harris hawks meta heuristic optimization algorithm and improved adaptive generalized gaussian distribution threshold function
NA Golilarz, H Gao, H Demirel - Ieee Access, 2019 - ieeexplore.ieee.org
An image may be influenced by noise during capturing and transmitting process. Removing
the possible noise from the image has always been a challenging issue due to this fact that …
the possible noise from the image has always been a challenging issue due to this fact that …
Low-dose abdominal CT using a deep learning-based denoising algorithm: a comparison with CT reconstructed with filtered back projection or iterative reconstruction …
Objective To compare the image quality of low-dose (LD) computed tomography (CT)
obtained using a deep learning-based denoising algorithm (DLA) with LD CT images …
obtained using a deep learning-based denoising algorithm (DLA) with LD CT images …
Cuckoo search algorithm based satellite image contrast and brightness enhancement using DWT–SVD
This paper presents a new contrast enhancement approach which is based on Cuckoo
Search (CS) algorithm and DWT-SVD for quality improvement of the low contrast satellite …
Search (CS) algorithm and DWT-SVD for quality improvement of the low contrast satellite …
Efficient image denoising method based on a new adaptive wavelet packet thresholding function
A Fathi, AR Naghsh-Nilchi - IEEE Transactions on Image …, 2012 - ieeexplore.ieee.org
This paper proposes a statistically optimum adaptive wavelet packet (WP) thresholding
function for image denoising based on the generalized Gaussian distribution. It applies …
function for image denoising based on the generalized Gaussian distribution. It applies …
Automatic wavelet-based retinal blood vessels segmentation and vessel diameter estimation
A Fathi, AR Naghsh-Nilchi - Biomedical Signal Processing and Control, 2013 - Elsevier
Automatic detection of retinal blood vessels and measurement of vessel diameter are
important steps in the computer aided diagnosis in ophthalmology. Here, we present a new …
important steps in the computer aided diagnosis in ophthalmology. Here, we present a new …