Results 11 to 20 of about 781,103 (334)
Multi-focus image fusion using multi-scale image decomposition and saliency detection
Ain Shams Engineering Journal, 2018 In this paper, we develop a new multi-focus image fusion method based on saliency detection and multi-scale image decomposition. Proposed method is very efficient, since the visual saliency explored in this algorithm is able to emphasize visually ...
Durga Prasad Bavirisetti, Ravindra Dhuli
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MathematicsEnvironmental time series, such as near-surface air temperature, exhibit strong multi-scale structure and persistent autocorrelation. Accurate forecasting therefore requires careful consideration of both temporal scale separation and serial dependence ...
Khawla Al-Saeedi +4 more
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A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 Many real-world time series exhibit multiple seasonality with different lengths. The removal of seasonal components is crucial in numerous applications of time series, including forecasting and anomaly detection. However, many seasonal-trend decomposition algorithms suffer from high computational cost and require a large amount of data when multiple ...
Linxiao Yang +3 more
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Multi-Focus Color Image Fusion Based on Quaternion Multi-Scale Singular Value Decomposition
Frontiers in Neurorobotics, 2021 Most existing multi-focus color image fusion methods based on multi-scale decomposition consider three color components separately during fusion, which leads to inherent color structures change, and causes tonal distortion and blur in the fusion results.
Hui Wan +5 more
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Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function
Frontiers in Neurorobotics, 2022 High-dynamic-range (HDR) image has a wide range of applications, but its access is limited. Multi-exposure image fusion techniques have been widely concerned because they can obtain images similar to HDR images. In order to solve the detail loss of multi-
Ke Xu +3 more
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FSADFuse: A Novel Fusion Approach to Infrared and Visible Images
IEEE Access, 2021 To address the problems of edge blur and weak detail resolution when fusing infrared and visible images with traditional methods, a novel image fusion approach based on fast super-resolution convolutional neural network and anisotropic diffusion is ...
Shuai Hao +5 more
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IET Image Processing, 2021 Fusion and noise suppression of medical images are becoming increasingly difficult to be ignored in image processing, and this technique provides abundant information for the clinical diagnosis and treatment.
Xuefeng Zhang, Hui Yan
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The Study of Feature Extraction Method Based on Multi-scale Morphological Spectrum Entropy
Chemical Engineering Transactions, 2016 Multi-scale morphological decomposition is a decomposition method being proposed based on the basic theory of multi-scale morphology. Using from small to large scale of structural elements to deal with different “Scale domain”, thus the original signal ...
H.M. Ge, L. Chen, J. Liang
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Multi-scale proper orthogonal decomposition of complex fluid flows [PDF]
Journal of Fluid Mechanics, 2019 Data-driven decompositions are becoming essential tools in fluid dynamics, allowing for tracking the evolution of coherent patterns in large datasets, and for constructing low-order models of complex phenomena. In this work, we analyse the main limits of two popular decompositions, namely the proper orthogonal decomposition (POD) and the dynamic mode ...
M. A. Mendez, M. Balabane, J.-M. Buchlin
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IEEE Access, 2022 This paper proposes a novel algorithm for bearing fault diagnosis using sparse wavelet decomposition for feature extraction combined with a multi-scale one dimensional convolutional neural network (1-D CNN).
Xiaofan Liu +3 more
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