Results 31 to 40 of about 64,008 (285)

Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter

open access: yesEntropy, 2020
Image fusion is a very practical technology that can be applied in many fields, such as medicine, remote sensing and surveillance. An image fusion method using multi-scale decomposition and joint sparse representation is introduced in this paper.
Yudan Liu   +5 more
doaj   +1 more source

Infrared and Visible Image Fusion: Methods, Datasets, Applications, and Prospects

open access: yesApplied Sciences, 2023
Infrared and visible light image fusion combines infrared and visible light images by extracting the main information from each image and fusing it together to provide a more comprehensive image with more features from the two photos.
Yongyu Luo, Zhongqiang Luo
doaj   +1 more source

Unified framework for multi‐scale decomposition and applications

open access: yesThe Journal of Engineering, 2017
Since real‐world digital images differ in thousands ways, an adaptive multi‐scale decomposition scheme adapting to images is increasingly urgently required for image analysis and applications. In this paper, a unified framework for multi‐scale decomposition is developed.
Xu Guanlei   +4 more
openaire   +1 more source

Multi-Scale FPGA-Based Infrared Image Enhancement by Using RGF and CLAHE

open access: yesSensors, 2023
Infrared sensors capture thermal radiation emitted by objects. They can operate in all weather conditions and are thus employed in fields such as military surveillance, autonomous driving, and medical diagnostics.
Jialong Liu   +6 more
doaj   +1 more source

A Real-Time FPGA Implementation of Infrared and Visible Image Fusion Using Guided Filter and Saliency Detection

open access: yesSensors, 2022
Taking advantage of the functional complementarity between infrared and visible light sensors imaging, pixel-level real-time image fusion based on infrared and visible light images of different resolutions is a promising strategy for visual enhancement ...
Ling Zhang   +4 more
doaj   +1 more source

Spatio‐temporal multi‐scale motion descriptor from a spatially‐constrained decomposition for online action recognition

open access: yesIET Computer Vision, 2017
This study presents a spatio‐temporal motion descriptor that is computed from a spatially‐constrained decomposition and applied to online classification and recognition of human activities.
Fabio Martínez   +2 more
doaj   +1 more source

Degradation feature extraction of the hydraulic pump based on local characteristic-scale decomposition and multi-fractal spectrum

open access: yesAdvances in Mechanical Engineering, 2016
Aiming at the characteristic that the vibration signals of hydraulic pump usually have strong nonlinearity and low signal-to-noise ratio, this article presents a novel hydraulic pump degradation feature extraction method based on improved local ...
Zaike Tian   +3 more
doaj   +1 more source

Image Fusion Method Based on Structure-Based Saliency Map and FDST-PCNN Framework

open access: yesIEEE Access, 2019
Image fusion has become an active and promising research topic in image processing. It provides an effective way to combine several source images to form a composite image with more detailed information than any one of the source images.
Jiang Qian   +4 more
doaj   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

open access: yesMolecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung   +17 more
wiley   +1 more source

Kolmogorov spectrum consistent optimization for multi-scale flow decomposition [PDF]

open access: yesPhysics of Fluids, 2014
Multi-scale analysis is widely adopted in turbulence research for studying flow structures corresponding to specific length scales in the Kolmogorov spectrum. In the present work, a new methodology based on novel optimization techniques for scale decomposition is introduced, which leads to a bandpass filter with prescribed properties. With this filter,
Mishra, M.   +3 more
openaire   +3 more sources

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