Results 91 to 100 of about 569 (169)

Sparse Regularization Based on Orthogonal Tensor Dictionary Learning for Inverse Problems

Mathematical Problems in Engineering, Volume 2024, Issue 1, 2024.
In seismic data processing, data recovery including reconstruction of the missing trace and removal of noise from the recorded data are the key steps in improving the signal‐to‐noise ratio (SNR). The reconstruction of seismic data and removal of noise becomes a sparse optimization problem that can be solved by using sparse regularization.
Diriba Gemechu, Francisco Rossomando
wiley   +1 more source

Visual sensor image enhancement based on non-sub-sampled shearlet transform and phase stretch transform

EURASIP Journal on Wireless Communications and Networking, 2019
Acquiring clear images is a requisite in visual sensor networks. Image enhancement is an effective way to improve image quality. In this paper, non-sub-sampled shearlet transform (NSST) multi-scale analysis is combined with phase stretch transform (PST ...
Ying Tong
doaj   +1 more source

Suppressing seismic random noise based on non-subsampled shearlet transform and improved FFDNet

Frontiers in Earth Science
Traditional denoising methods often lose details or edges, such as Gaussian filtering. Shearlet transform is a multi-scale geometric analysis tool which has the advantages of multi-resolution and multi-directivity.
Hua Fan, Yang Zhang, Wenxu Wang, Tao Li
doaj   +1 more source

TDFusion: When Tensor Decomposition Meets Medical Image Fusion in the Nonsubsampled Shearlet Transform Domain. [PDF]

Sensors (Basel), 2023
Zhang R, Wang Z, Sun H, Deng L, Zhu H.
europepmc   +1 more source

High-Resolution Reflected Wave Extraction and Imaging Enhancement for Array Acoustic Logging

Cejing jishu
Array acoustic logging reflected wave imaging is an important technology to detect the geological structure and characteristics around the wellbore, especially in the evaluation of fracture-vuggy carbonate rocks and unconventional heterogeneous reservoir.
YUE Wenzheng, LIU Dongming, TIAN Bin, QIN Minjun   +3 more
doaj   +1 more source

Brinjal leaf diseases detection based on discrete Shearlet transform and Deep Convolutional Neural Network. [PDF]

PLoS One, 2023
Abisha S, Mutawa AM, Murugappan M, Krishnan S.   +3 more
europepmc   +1 more source

An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure. [PDF]

Sensors (Basel), 2022
Huang D, Tang Y, Wang Q.
europepmc   +1 more source

GPR data noise attenuation based on the Shearlet transform

矿业科学学报, 2017
When using ground penetrating radar(GPR) to detect the underground target distribution, valid signal in receiving data tend to be susceptible to noise and the interference of air-ground waves, which will affect the accuracy of target recognition and ...
Zheng Jing, Yu Ke, Wang Pengyue, Jiang Shuqi, Teng Xingzhi   +4 more
doaj  

A unified comparative framework for multiscale geometric transforms in SAR and multispectral satellite image analysis

Frontiers in Remote Sensing
Satellite image analysis is essential for remote sensing analysis. Two types of data are captured via satellite: Synthetic Aperture Radar (SAR) imagery (which has structure) and multispectral imagery (which contains spectral information), so ...
Sai Bhargav Kasetty, Rajakumar Krishnan
doaj   +1 more source

Radon transform intertwines shearlets and wavelets

, 2017
26 pages, 1 ...
Bartolucci, Francesca, De Mari, Filippo, De Vito, Ernesto   +2 more
openaire   +2 more sources