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Heterogeneous Domain Decomposition for Multi-Scale Problems

43rd AIAA Aerospace Sciences Meeting and Exhibit, 2005
The objective of this work is to develop numerical tools useful for the understanding of fundamental phenomena in Blood Flow, including some biochemistry and cellular dynamics. An open problem that may benefit from multi-scale numerical tools is for example the understanding of the relation ship between inflammation and cholesterol plaque.
Marc Garbey, Christophe Picard, Roger Tran-Son-Tay   +2 more
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Multi-scale decomposition of point process data

GeoInformatica, 2012
To automatically identify arbitrarily-shaped clusters in point data, a theory of point process decomposition based on kth Nearest Neighbour distance is proposed. We assume that a given set of point data is a mixture of homogeneous processes which can be separated according to their densities.
Tao Pei, Jianhuan Gao, Ting Ma 0002, Chenghu Zhou   +3 more
openaire   +2 more sources

Image selective restoration using multi-scale variational decomposition

Journal of Visual Communication and Image Representation, 2016
Display Omitted A single-parameter (BV, G, L2) variational decomposition functional is proposed.Theoretical analysis of the relationship between the parameter and the scales.A multi-scale variational decomposition is proposed.Image selective restoration using the multi-scale variational decomposition.
Liming Tang, Shiqiang Chen
exaly   +2 more sources

Multi-Scale Fusion and Decomposition Network for Single Image Deraining

IEEE Transactions on Image Processing
Convolutional neural networks (CNNs) and self-attention (SA) have demonstrated remarkable success in low-level vision tasks, such as image super-resolution, deraining, and dehazing. The former excels in acquiring local connections with translation equivariance, while the latter is better at capturing long-range dependencies.
Qiong Wang, Kui Jiang, Zheng Wang 0007, Wenqi Ren, Jianhui Zhang, Chia-Wen Lin   +5 more
openaire   +3 more sources

Multi-scale decomposition tool for Content Based Image Retrieval

2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2013
Content Based Image Retrieval (CBIR) is a technical area focused on answering “Who, What, Where and When,” questions associated with the imagery. A multi-scale feature extraction scheme based on wavelet and Contourlet transforms is proposed to reliably extract objects in images.
Soundararajan Ezekiel, Mark G. Alford, David Ferris, Eric K. Jones, Adnan Bubalo, Mark Gorniak, Erik Blasch   +6 more
openaire   +2 more sources

A novel carbon price combination forecasting approach based on multi-source information fusion and hybrid multi-scale decomposition

Engineering Applications of Artificial Intelligence, 2022
Piao Wang, Jinpei Liu, Zhifu Tao
exaly   +2 more sources

Efficient Variable Rate Image Compression With Multi-Scale Decomposition Network

IEEE Transactions on Circuits and Systems for Video Technology, 2019
While deep learning image compression methods have shown an impressive coding performance, most of them output a single-optimized-compression rate using a trained-specific network. However, in practice, it is essential to support the variable rate compression or meet a target rate with a high-coding performance.
Chunlei Cai, Li Chen 0021, Xiaoyun Zhang 0001, Zhiyong Gao   +3 more
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Nonlinear multi-scale decomposition by EMD for Co-Channel speaker identification

Multimedia Tools and Applications, 2016
A multi-scale analysis method, called Empirical Mode Decomposition (EMD), has been proposed for analysis of nonlinear and non stationary data. The empirical mode decomposition is a method initiated by Huang et al. as an alternative technique to the traditional Fourier and wavelet techniques for examining signals.
Wajdi Ghezaiel, Amel Ben Slimane Rahmouni, Ezzedine Ben Braiek   +2 more
semanticscholar   +3 more sources

Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters

Information Fusion, 2016
Zhiqiang Zhou, Mingjie Dong
exaly   +2 more sources

Multi-scale Decomposition Dehazing with Polarimetric Vision

Conference on Multimedia Modeling
Tongwei Ma, Lilian Zhang, Bo Sun, Chen Fan   +3 more
openaire   +2 more sources