Results 91 to 100 of about 2,599 (188)

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

Construction of Meyer Wavelet Using Fully Smooth Sigmiod Function

Journal of Harbin University of Science and Technology, 2019
In order to obtain better smooth effect in signal or image reconstruction, the regularity or continuous differentiability of wavelet must be increased as much as possible.
SHAO Yun-hong, DENG Cai-xia, HE Peng
doaj   +1 more source

The algorithm for extracting surface defects from ZrO2 ceramic bearing balls using shearlet transform image enhancement

AIP Advances
To solve the problems of noise coverage defect and low contrast between the defect and the background of ZrO2 ceramic bearing balls, a surface defect extraction algorithm based on shearlet transform image enhancement for ZrO2 ceramic bearing balls is ...
Dahai Liao, Xin Xia, Xianqi Liao, Qi Zheng, Changfu Fang, Nanxing Wu   +5 more
doaj   +1 more source

Feature Extraction with Discrete Non-Separable Shearlet Transform and Its Application to Surface Inspection of Continuous Casting Slabs

Applied Sciences, 2019
A new feature extraction technique called DNST-GLCM-KSR (discrete non-separable shearlet transform-gray-level co-occurrence matrix-kernel spectral regression) is presented according to the direction and texture information of surface defects of ...
Xiaoming Liu, Ke Xu, Peng Zhou, Huajie Liu   +3 more
doaj   +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

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

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

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