Multi-scale reconstruction of turbulent rotating flows with proper orthogonal decomposition and generative adversarial networks [PDF]
Data reconstruction of rotating turbulent snapshots is investigated utilizing data-driven tools. This problem is crucial for numerous geophysical applications and fundamental aspects, given the concurrent effects of direct and inverse energy cascades ...
Tianyi Li +5 more
semanticscholar +1 more source
Multi-Scale Modelling of a Solar Reactor for the High-Temperature Step of a Sulphur-Iodine-Based Water Splitting Cycle [PDF]
The 3-step sulphur-iodine-based thermochemical cycle for splitting water is considered. The high temperature step of the closed-material cycle consists of evaporation, decomposition, and reduction of sulphuric acid to SO2 using concentrated solar process
Roeb, Martin +7 more
core +1 more source
GA-PE-VMD and MSE Methods for Milling Chatter Feature Extraction of Thin-walled Parts
In the high-speed milling of aviation parts, due to the low stiffness of thin-walled structure, it is easy to produce chatter. Chatter leads to poor surface quality, dimensional error and reducing the service life of tools and machines.Therefore, a ...
WANG Hanbin +4 more
doaj +1 more source
Subspace Decomposition based DNN algorithm for elliptic type multi-scale PDEs [PDF]
While deep learning algorithms demonstrate a great potential in scientific computing, its application to multi-scale problems remains to be a big challenge.
Xi-An Li, Z. Xu, Lei Zhang
semanticscholar +1 more source
Multi-scale Image Decomposition Using a Local Statistical Edge Model [PDF]
We present a progressive image decomposition method based on a novel non-linear filter named Sub-window Variance filter. Our method is specifically designed for image detail enhancement purpose; this application requires extraction of image details which are small in terms of both spatial and variation scales.
openaire +2 more sources
Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter
Image fusion is a very practical technology that can be applied in many fields, such as medicine, remote sensing and surveillance. An image fusion method using multi-scale decomposition and joint sparse representation is introduced in this paper.
Yudan Liu +5 more
doaj +1 more source
Fast multi-scale detail decomposition via accelerated iterative shrinkage [PDF]
We present a fast solution for performing multi-scale detail decomposition. The proposed method is based on an accelerated iterative shrinkage algorithm, able to process high definition color images in real-time on modern GPUs. Our strategy to accelerate the smoothing process is based on the use of first order proximal operators.
Badri, Hicham +2 more
openaire +2 more sources
Agile multi-scale decompositions for automatic image registration [PDF]
In recent works, the first and third authors developed an automatic image registration algorithm based on a multiscale hybrid image decomposition with anisotropic shearlets and isotropic wavelets. This prototype showed strong performance, improving robustness over registration with wavelets alone.
James M. Murphy +2 more
openaire +1 more source
Deep Residual Transform for Multi-scale Image Decomposition
Multi-scale image decomposition (MID) is a fundamental task in computer vision and image processing that involves the transformation of an image into a hierarchical representation comprising of different levels of visual granularity from coarse structures to fine details.
Linlin Xu +4 more
openaire +2 more sources
This study presents a spatio‐temporal motion descriptor that is computed from a spatially‐constrained decomposition and applied to online classification and recognition of human activities.
Fabio Martínez +2 more
doaj +1 more source

