Results 291 to 300 of about 781,103 (334)

A Multi-Scale Decomposition Based Haze Removal Algorithm

2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, 2012
The contrast and colors of images acquired in bad weather are usually poor. This paper proposed a simple method to remove haze based on a multi-scale decomposition method. Through the Fourier spectrum and Hough transform we obtain the directional images which are then used to decompose the image to IMFs.
Xiaotong Wang, Xin Jin, Guanlei Xu, Xiaogang Xu   +3 more
openaire   +1 more source

Multi-scale decomposition for remote sensing image processing

2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), 2011
Based on image gradients, an alternative image multi-scale decomposition approach for remote sensing image processing is derived through solving a Poisson equation in this paper. First, the image gradients are obtained. Second, the gradients with given magnitudes are attenuated using some operators.
Zhou Lijia, Qian Zhibo, Xu Guanlei
openaire   +1 more source

Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network

Expert systems with applications, 2020
Electroencephalogram (EEG) signals classification plays a crucial role in brain computer interfaces (BCIs) system. However, the inherent complex properties of EEG signals make it challenging to get them analyzed and modeled. In this paper, a novel method
Xianlun Tang, Wei Li, Xingchen Li, Weichang Ma, Xiaoyuan Dang   +4 more
semanticscholar   +1 more source

Hierarchical decomposition of multiscale skeletons

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
This paper presents a new procedure to hierarchically decompose a multi-scale discrete skeleton. The skeleton is a linear pattern representation that is generally recognized as a good shape descriptor. For discrete images, the discrete skeleton is often preferable. Multi-resolution representations are convenient for many image analysis tasks.
Borgefors G, Ramella G, Sanniti di Baja G   +2 more
openaire   +2 more sources

Decomposition-based multi-scale transformer framework for time series anomaly detection

Neural Networks
Time series anomaly detection is crucial for maintaining stable systems. Existing methods face two main challenges. First, it is difficult to directly model the dependencies of diverse and complex patterns within the sequences.
Wenxin Zhang, Cuicui Luo
semanticscholar   +1 more source

A Hybrid Decomposition Parallel Algorithm for Multi-scale Simulation of Viscoelastic Fluids

2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2016
The method of Brownian configuration fields (BCF) is a promising multi-scale approach for the simulationof viscoelastic fluids, however, it is a computationally expensive method, which restricts its application in complex scenarios. Therefore, it is of great importance to optimize the parallel implementation in order to improve computational efficiency.
Xiaowei Guo, Xinhai Xu, Qian Wang, Hao Li 0039, Xiaoguang Ren, Liyang Xu, Xuejun Yang   +6 more
openaire   +1 more source

Two-Stage Deep Ensemble Paradigm Based on Optimal Multi-scale Decomposition and Multi-factor Analysis for Stock Price Prediction

Cognitive Computation, 2023
Jujie Wang, Jing Liu
semanticscholar   +1 more source

Fusion of backscatter and transmission images based on multi-scale image decomposition

2014 International Conference on Audio, Language and Image Processing, 2014
We propose a new scheme for the fusion of backscatter images and transmission images in X-ray luggage inspection systems. Our fusion algorithm is based on multi-scale decomposition of backscatter/transmission images under the weighted least square (WLS) framework.
Qingqing Chang, Jiamin Chen
openaire   +1 more source

A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting

Expert systems with applications, 2021
Jinpei Liu, Piao Wang, Huayou Chen, Jiaming Zhu   +3 more
semanticscholar   +1 more source

Joint dehazing and denoising for single nighttime image via multi-scale decomposition

Multimedia tools and applications, 2022
Yun Liu, Pengfei Jia, Hao Zhou, Anzhi Wang   +3 more
semanticscholar   +1 more source