Results 1 to 10 of about 256 (127)

Fusion of Unmanned Aerial Vehicle Panchromatic and Hyperspectral Images Combining Joint Skewness-Kurtosis Figures and a Non-Subsampled Contourlet Transform [PDF]

open access: yesSensors, 2018
To obtain fine and potential features, a highly informative fused image created by merging multiple images is usually required. In our study, a novel fusion algorithm called JSKF-NSCT is proposed for fusing panchromatic (PAN) and hyperspectral (HS ...
Jinling Zhao   +5 more
doaj   +4 more sources

Multi-Focus Image Fusion via Distance-Weighted Regional Energy and Structure Tensor in NSCT Domain [PDF]

open access: yesSensors, 2023
In this paper, a multi-focus image fusion algorithm via the distance-weighted regional energy and structure tensor in non-subsampled contourlet transform domain is introduced.
Ming Lv   +5 more
doaj   +2 more sources

Denoising Method for Passive Photon Counting Images Based on Block-Matching 3D Filter and Non-Subsampled Contourlet Transform [PDF]

open access: yesSensors, 2019
Multi-pixel photon counting detectors can produce images in low-light environments based on passive photon counting technology. However, the resulting images suffer from problems such as low contrast, low brightness, and some unknown noise distribution ...
Xuan Wang   +5 more
doaj   +2 more sources

Pulse Coupled Neural Network-Based Multimodal Medical Image Fusion via Guided Filtering and WSEML in NSCT Domain [PDF]

open access: yesEntropy, 2021
Multimodal medical image fusion aims to fuse images with complementary multisource information. In this paper, we propose a novel multimodal medical image fusion method using pulse coupled neural network (PCNN) and a weighted sum of eight-neighborhood ...
Liangliang Li, Hongbing Ma
doaj   +2 more sources

Multimodal Image Fusion for X-ray Grating Interferometry [PDF]

open access: yesSensors, 2023
X-ray grating interferometry (XGI) can provide multiple image modalities. It does so by utilizing three different contrast mechanisms—attenuation, refraction (differential phase-shift), and scattering (dark-field)—in a single dataset. Combining all three
Haoran Liu   +6 more
doaj   +2 more sources

Multiscale and multidirection depth map super resolution with semantic inference

open access: yesIET Image Processing, 2023
Depth map super resolution has been paid much attention in 3D applications due to the limitation of depth sensors. Few textures in objects with clear contours along them is the most important characteristic of depth map. An efficient image representation
Dan Xu   +3 more
doaj   +2 more sources

Multimodality medical image fusion using directional total variation based linear spectral clustering in NSCT domain [PDF]

open access: yesScientific Reports
In medical science, there is a challenge to find out critical information from the medical images by low vision disability medical experts. As a solution, we can enhance the medical images by fusing different modality images viz., CT-MRI which can be ...
Mohammad Zubair Khan   +6 more
doaj   +2 more sources

Multiscale detection of power quality disturbances and cyber intrusions in smart grids using NSCT and frequency band scalograms [PDF]

open access: yesScientific Reports
This paper presents a novel multiscale signal processing framework for power quality disturbance (PQD) and cyber intrusion detection in smart grids, combining Non-Subsampled Contourlet Transform (NSCT), Split Augmented Lagrangian Shrinkage Algorithm ...
Pampa Sinha   +7 more
doaj   +2 more sources

Infrared and visible image fusion algorithm based on NSCT and improved FT saliency detection [PDF]

open access: yesScientific Reports
Existing image fusion approaches typically achieve satisfactory performance under standard environmental conditions, yet the growing demand for intelligent decision-making requires advanced imaging capabilities in more complex environments.
Xiaojing Fan   +3 more
doaj   +2 more sources

Detection Method of Cracks in Expressway Asphalt Pavement Based on Digital Image Processing Technology

open access: yesApplied Sciences, 2023
Considering the limitations of the current pavement crack damage detection methods, this study proposes a method based on digital image processing technology for detecting highway asphalt pavement crack damage.
Hui Fang, Na He
doaj   +1 more source

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