A comprehensive survey on impulse and Gaussian denoising filters for digital images
M Mafi, H Martin, M Cabrerizo, J Andrian, A Barreto… - Signal Processing, 2019 - Elsevier
This review article provides a comprehensive survey on state-of-the-art impulse and
Gaussian denoising filters applied to images and summarizes the progress that has been …
Gaussian denoising filters applied to images and summarizes the progress that has been …
Computer-aided diagnosis of liver lesions using CT images: A systematic review
PV Nayantara, S Kamath, KN Manjunath… - Computers in Biology …, 2020 - Elsevier
Background Medical image processing has a strong footprint in radio diagnosis for the
detection of diseases from the images. Several computer-aided systems were researched in …
detection of diseases from the images. Several computer-aided systems were researched in …
LLNet: A deep autoencoder approach to natural low-light image enhancement
In surveillance, monitoring and tactical reconnaissance, gathering visual information from a
dynamic environment and accurately processing such data are essential to making informed …
dynamic environment and accurately processing such data are essential to making informed …
Efficient federated learning with spike neural networks for traffic sign recognition
With the gradual popularization of self-driving, it is becoming increasingly important for
vehicles to smartly make the right driving decisions and autonomously obey traffic rules by …
vehicles to smartly make the right driving decisions and autonomously obey traffic rules by …
Image denoising: The deep learning revolution and beyond—a survey paper
Image denoising—removal of additive white Gaussian noise from an image—is one of the
oldest and most studied problems in image processing. Extensive work over several …
oldest and most studied problems in image processing. Extensive work over several …
An unsupervised-learning-based approach for automated defect inspection on textured surfaces
S Mei, H Yang, Z Yin - IEEE transactions on instrumentation …, 2018 - ieeexplore.ieee.org
Automated defect inspection has long been a challenging task especially in industrial
applications, where collecting and labeling large amounts of defective samples are usually …
applications, where collecting and labeling large amounts of defective samples are usually …
A novel MP-LSTM method for ship trajectory prediction based on AIS data
The accurate prediction of ship trajectory has great significance in maritime transportation.
Among all the prediction methods, multi-step prediction has received increasing attention …
Among all the prediction methods, multi-step prediction has received increasing attention …
Insect detection and classification based on an improved convolutional neural network
Regarding the growth of crops, one of the important factors affecting crop yield is insect
disasters. Since most insect species are extremely similar, insect detection on field crops …
disasters. Since most insect species are extremely similar, insect detection on field crops …
Different applied median filter in salt and pepper noise
In this paper, we proposed a new method, Different Applied Median Filter (DAMF), to remove
salt and pepper (SAP) noise at all densities. We then explained some basic notions of it …
salt and pepper (SAP) noise at all densities. We then explained some basic notions of it …
Generating pit-free canopy height models from airborne lidar
A Khosravipour, AK Skidmore… - … & Remote Sensing, 2014 - ingentaconnect.com
Canopy height models (CHMs) derived from lidar data have been applied to extract forest
inventory parameters. However, variations in modeled height cause data pits, which form a …
inventory parameters. However, variations in modeled height cause data pits, which form a …