Results 271 to 280 of about 781,103 (334)

Generalized multi-scale image decomposition for new tone manipulation

Digital Signal Processing, 2023
Guanlei Xu, Xu Guanlei
exaly   +2 more sources

Multi scale decomposition based medical image fusion using convolutional neural network and sparse representation

Biomedical Signal Processing and Control, 2021
Medical image fusion foremost focuses on discovering superior technique on merging multimodal medical images which plays an important part on clinical analysis and treatment planning.
D. Shibu, S. Priyadharsini
semanticscholar   +1 more source

Infrared image enhancement through saliency feature analysis based on multi-scale decomposition

Infrared Physics and Technology, 2014
Jufeng Zhao, Yueting Chen, Huajun Feng   +2 more
exaly   +2 more sources

Saliency analysis based on multi-scale wavelet decomposition

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013
In this paper, an efficient saliency analysis method based on multi-scale wavelet analysis is proposed, which can be used for car detection in intelligent transportation applications. In our method, saliency regions are considered as abnormal parts in a normal background; the wavelet theory is then used to detect these abnormal parts.
Xiaolong Ma, Xudong Xie, Kin-Man Lam 0001, Yi Zhang 0029   +3 more
openaire   +1 more source

Graph signal decomposition for multi-scale detail manipulation

2014 IEEE International Conference on Image Processing (ICIP), 2014
In this paper we introduce a new unified framework for multi-scale detail manipulation of graph signals. The key to this unification is to model any kind of data as signals defined on appropriate weighted graphs. Graph signals are represented as the sum of successive layers, each capturing a given scale of detail.
Moncef Hidane, Olivier Lézoray, Abderrahim Elmoataz   +2 more
openaire   +1 more source

Multi-scale Curve Decomposition Based on Alpha-Shape

2011 Eighth International Symposium on Voronoi Diagrams in Science and Engineering, 2011
In cartography curve simplification is a recurrent problem. The purpose is to remove irrelevant details while emphasizing the main features of the curve. Decomposition of curve is preprocessing of curve simplification. Most of the current techniques belong to the spatial domain (least square method, active contour, point selection).
Zhuangzhi Wu, Lu Feng 0003
openaire   +1 more source

Blowing Bubbles for Multi-Scale Analysis and Decomposition of Triangle Meshes

Algorithmica, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michela Mortara, Giuseppe Patané, Michela Spagnuolo, Bianca Falcidieno, Jarek Rossignac   +4 more
openaire   +5 more sources

Spectral decomposition for graded multi-scale topology optimization

Computer Methods in Applied Mechanics and Engineering, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tej Kumar, Saketh Sridhara, Bhagyashree Prabhune, Krishnan Suresh   +3 more
openaire   +1 more source

Data multi-scale decomposition strategies for air pollution forecasting: A comprehensive review

, 2020
Currently, the increasingly serious air quality has attached great significance to the forecasting of air pollution. Data decomposition technology can decompose the original data into multiple frequency components, and its adoption significantly improves
Hui Liu, Shin-Yi Yin, Chao Chen, Zhu Duan   +3 more
semanticscholar   +1 more source

Multi-scale decomposition based supervised single channel deep speech enhancement

Applied Soft Computing, 2020
Speech signals reaching our ears are in general contaminated by the background noise distortion which is detrimental to both speech quality and intelligibility. In this paper, we propose a nonlinear multi-scale decomposition-based deep speech enhancement
Nasir Saleem, M. I. Khattak
semanticscholar   +1 more source