Results 1 to 10 of about 1,654 (206)

Image Sequence Fusion and Denoising Based on 3D Shearlet Transform

Journal of Applied Mathematics, 2014
We propose a novel algorithm for image sequence fusion and denoising simultaneously in 3D shearlet transform domain. In general, the most existing image fusion methods only consider combining the important information of source images and do not deal ...
Liang Xu, Junping Du, Zhenhong Zhang
doaj   +1 more source

Random Noise Reduction in Seismic Data by Using Bidimensional Empirical Mode Decomposition and Shearlet Transform

IEEE Access, 2019
Due to the limitation of the seismic data acquisition environment and instrument, seismic data are often subjected to random noise interference. At the same time, random noise is inevitably introduced in the processing of seismic data.
Wen-Long Hou, Rui-Sheng Jia, Hong-Mei Sun, Xing-Li Zhang, Meng-Di Deng, Yu Tian   +5 more
doaj   +1 more source

Enhanced Offshore Wind Farm Geophysical Surveys: Shearlet-Sparse Regularization in Multi-Channel Predictive Deconvolution

Remote Sensing
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, Deli Wang, Bin Hu, Junming Zhang, Xiangbo Gong, Yifei Chen   +5 more
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

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

Constructing Multiwavelet-based Shearlets and using Them for Automatic Segmentation of Noisy Brain Images Affected by COVID-19. [PDF]

J Med Signals Sens, 2023
Aghazadeh N, Moradi P, Noras P.
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

Intra-nucleus mosaic pattern (InMop) and whole-cell Haralick combined-descriptor for identifying and characterizing acute leukemia blasts on single cell peripheral blood images. [PDF]

Cytometry A, 2023
Tarquino J, Arabyarmohammadi S, Tejada RE, Madabhushi A, Romero E.   +4 more
europepmc   +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

Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet Domain. [PDF]

Diagnostics (Basel), 2022
Diwakar M, Singh P, Swarup C, Bajal E, Jindal M, Ravi V, Singh KU, Singh T.   +7 more
europepmc   +1 more source