Results 281 to 290 of about 781,103 (334)

Multi-scale proper orthogonal decomposition (mPOD)

AIP Conference Proceedings, 2018
We propose a novel data-driven decomposition referred to as Multi-scale Proper Orthogonal Decomposition (mPOD). This decomposition combines Multi-resolution Analysis (MRA) via Discrete Wavelet Transform (DWT) and Proper Orthogonal Decomposition (POD).
Mendez, Miguel Alfonso, Balabane, Mikhael, Buchlin, Jean Marie   +2 more
openaire   +2 more sources

Multi-scale decomposition enhancement algorithm for surface defect images of Si3N4 ceramic bearing balls based on stationary wavelet transform

Advances in Applied Ceramics: Structural, Functional and Bioceramics, 2020
In order to improve the detection efficiency and image quality of Si3N4 ceramic bearing balls surface defects, digital image processing technology is used to analyse the information characteristics of Si3N4 ceramic bearing balls surface.
D. Yu, Zuoxiang Zhu, Jianliang Min, C. Fang, D. Liao, N. Wu   +5 more
semanticscholar   +1 more source

Hierarchical Multi-Scale Decomposition and Deep Learning Ensemble Framework for Enhanced Carbon Emission Prediction

Mathematics
Carbon emission prediction is critical for climate change mitigation across industrial, transportation, and urban sectors. Traditional statistical and machine learning methods struggle to capture complex multi-scale temporal patterns and long-range ...
Yinuo Sun, Zhaoen Qu, Zhuodong Liu, Xiangyu Li   +3 more
semanticscholar   +1 more source

Neural Image Compression via Attentional Multi-scale Back Projection and Frequency Decomposition

IEEE International Conference on Computer Vision, 2021
In recent years, neural image compression emerges as a rapidly developing topic in computer vision, where the state-of-the-art approaches now exhibit superior compression performance than their conventional counterparts.
Ge Gao, P. You, Rong Pan, Shunyuan Han, Yuanyuan Zhang, Yuchao Dai, Ho-Jun Lee   +6 more
semanticscholar   +1 more source

Intrinsic Image Decomposition Using Multi‐Scale Measurements and Sparsity

Computer Graphics Forum, 2016
AbstractAutomatic decomposition of intrinsic images, especially for complex real‐world images, is a challenging under‐constrained problem. Thus, we propose a new algorithm that generates and combines multi‐scale properties of chromaticity differences and intensity contrast.
Shouhong Ding, Bin Sheng 0001, Xiao-Nan Hou, Zhifeng Xie, Lizhuang Ma   +4 more
openaire   +1 more source

Effective shadow removal via multi-scale image decomposition

The Visual Computer, 2019
Shadow removal is a fundamental and challenging problem in image processing field. Current approaches can only process shadows with simple scenes. For complex texture and illumination, the performance is less impressive. In this paper, we propose a novel shadow removal algorithm based on multi-scale image decomposition, which can recover the ...
Ling Zhang 0017, Qingan Yan, Yao Zhu, Xiaolong Zhang 0002, Chunxia Xiao   +4 more
openaire   +1 more source

Infrared and visible image fusion using multi-scale edge-preserving decomposition and multiple saliency features

Optik (Stuttgart), 2021
The fusion technique of infrared and visible images is broadly adopted in many computer vision tasks, such as pattern recognition, target detecting, tracking, and surveillance.
Chaowei Duan, Zhisheng Wang, Changda Xing, Shanshan Lu   +3 more
semanticscholar   +1 more source

Shape matching and retrieval via contour multi-scale decomposition

2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013
In this paper, we propose a new shape decomposition method based on visual perception for shape matching and retrieval which uses the protrusive corners under multiple scales. Our approach composes of a multi-scale shape decomposition procedure and a contour segments matching procedure.
Jin Zhang, Zhichun Mu, Yanfei Ren, Guoqing Xu, Chen Jiang   +4 more
openaire   +1 more source

Multi-scale decomposition based fusion of infrared and visible image via total variation and saliency analysis

Infrared physics & technology, 2018
Infrared (IR) images are the thermal radiation of the objects which can record different object information of a scene. Visible images are the optical information of a scene and contain a lot of details.
Tao Ma, Jie Ma, Bin Fang, Fangyu Hu, Siwen Quan, Huajun Du   +5 more
semanticscholar   +1 more source

Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion

IEEE Transactions on Image Processing, 2020
Exposure bracketing is crucial to high dynamic range imaging, but it is prone to halos for static scenes and ghosting artifacts for dynamic scenes. The recently proposed structural patch decomposition for multi-exposure fusion (SPD-MEF) has achieved ...
Hui Li, Kede Ma, Hongwei Yong, Lei Zhang
semanticscholar   +1 more source