Results 11 to 20 of about 711 (171)
NSCT-Based Robust and Perceptual Watermarking for DIBR 3D Images [PDF]
IEEE Access, 2020 Depth-image-based rendering (DIBR), where arbitrary views are synthesized from a center image and depth image, has received much attention in the three-dimensional (3D) research field.
Seung-Hun Nam +6 more
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Infrared and visible image fusion method of dual NSCT and PCNN
PLoS ONE, 2020 To solve the problem that the details of fusion images are not retained well and the information of feature targets is incomplete, we proposed a new fusion method of infrared (IR) and visible (VI) image—IR and VI image fusion method of dual non ...
Chunming Wu, Long Chen, Gulistan Raja
doaj +5 more sources
Remote Sensing Image Change Detection Based on NSCT-HMT Model and Its Application
Sensors, 2017 Traditional image change detection based on a non-subsampled contourlet transform always ignores the neighborhood information’s relationship to the non-subsampled contourlet coefficients, and the detection results are susceptible to noise interference ...
Zhenhong Jia +2 more
exaly +3 more sources
NSCT‐PCNN image fusion based on image gradient motivation
IET Computer Vision, 2018 Pulse coupled neural network (PCNN) is widely used in image processing because of its unique biological characteristics, which is suitable for image fusion.
Shifei Ding +4 more
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Inspiratory and expiratory tracheal pressures during high-intensity exercise in harness racehorses. [PDF]
Equine Vet JAbstract Background Exercise‐related upper respiratory tract (URT) disorders are common in racehorses. Objective assessment of URT mechanics is essential to quantify degrees of obstruction caused by URT disorders identified upon dynamic endoscopy. Objectives To establish reference values for inspiratory and expiratory tracheal pressures (cmH2O) during ...
Vermedal H +5 more
europepmc +2 more sources
Nonsubsampled Contourlet Transform And Adaptive PCNN For Medical Image Fusion
Journal of Applied Science and Engineering, 2022 In order to improve the quality of medical image fusion, preserve the spectral characteristics of the original image and avoid spectral degradation of the fused image, we propose a new medical image fusion method based on the nonsubsampled contourlet ...
Qian Mei, Mengfan Li
doaj +1 more source
IEEE Access, 2021 Noise reduction is important for X-ray images because it can reduce radiation exposure to patients. X-ray image noise has a Poisson-Gaussian distribution, and recently, noise analysis and removal in multiscale transformations have been widely implemented.
Sangyoon Lee, Moon Gi Kang
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The Brain Health Index: Integrating vulnerability, resilience, and cognitive function into a unified measure of cognitive health and risk of neurodegenerative disease. [PDF]
Alzheimers DementAbstract INTRODUCTION Assessing brain health and identifying cognitive impairment risk remains challenging, with only 11.4% of MCI cases receiving timely diagnoses. We developed the Brain Health Index (BHI), integrating the Vulnerability Index, Resilience Index, and Number Symbol Coding Task into a unified metric. METHODS We evaluated 469 participants (
Kleiman MJ +3 more
europepmc +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Change detection in multitemporal synthetic aperture radar (SAR) images has been an important research content in the field of remote sensing for a long time.
Weisong Li +4 more
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AIRBORNE SAR IMAGE BRIGHTNESS COMPENSATION ENHANCEMENT PROCESSING BASED ON NSCT TRANSFORM [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Image brightness compensation processing is one of the important aspects to decide whether the image can be further used for remote sensing quantitative applications.
W. Wang, W. Wang, C. Cheng, Y. Wang
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