Results 31 to 40 of about 64,008 (285)
Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter
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
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
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Unified framework for multi‐scale decomposition and applications
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
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
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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
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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
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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
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
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]
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

