Results 111 to 120 of about 3,242 (211)
tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning [PDF]
Héctor Andrade-Loarca, Gitta Kutyniok
openalex +1 more source
Facial Expression Recognition Based on Discrete Separable Shearlet Transform and Feature Selection
In this paper, a novel approach to facial expression recognition based on the discrete separable shearlet transform (DSST) and normalized mutual information feature selection is proposed. The approach can be divided into five steps.
Yang Lu, Shigang Wang, Wenting Zhao
doaj +1 more source
Embeddings of Decomposition Spaces into Sobolev and BV Spaces
In the present paper, we investigate whether an embedding of a decomposition space $\mathcal{D}\left(\mathcal{Q},L^{p},Y\right)$ into a given Sobolev space $W^{k,q}(\mathbb{R}^{d})$ exists.
Voigtlaender, Felix
core
This study introduces a novel multi-channel predictive deconvolution method enhanced by Shearlet-based sparse regularization, aimed at improving the accuracy and stability of subsurface seismic imaging, particularly in offshore wind farm site assessments.
Yang Zhang +5 more
doaj +1 more source
Interpolating seismic data via the POCS method based on shearlet transform [PDF]
Jicheng Liu, Yongxin Chou, Zhu Jianjiang
openalex +1 more source
Comparing Nonsubsampled Wavelet, Contourlet and Shearlet Transforms for Ultrasound Image Despeckling [PDF]
Sedigheh Ghofrani
openalex +1 more source
Feature Extraction Based on Non-Subsampled Shearlet Transform (NSST) with Application to SAR Image Data [PDF]
Huijie Ding, Arthur K. L. Lin
openalex +1 more source
The generalization of continuous wavelet, a directional multiscale is known as continuous shearlet which is able to study the directional functions and distributions. Many useful features do not carry from 2-dimensional to 3-dimensional cases due to the complexity of singularity sets defined on surfaces rather than along curves.
openaire +1 more source
Comparing Undecimated Wavelet, Nonsubsampled Contourlet and Shearlet for Sar Images Despeckling
Synthetic Aperture Radar (SAR) images suffer of multiplicative speckle noise, which damages the radiometric resolution of SAR images and makes the data interpretation difficult.
Saeed Jafari +2 more
doaj

