Results 81 to 90 of about 566 (171)

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

An Infrared and Visible Image Fusion Algorithm Based on LSWT-NSST

IEEE Access, 2020
Regarding the problems of image distortion, edge blurring, Gibbs phenomena in the traditional wavelet transform algorithm and the loss of subtle features in the Non-Subsampled Shearlet Transform (NSST), and considering the physical characteristics of ...
Li Junwu, Binhua Li, Yaoxi Jiang
doaj   +1 more source

Deep learning‐based methods for detecting defects in cast iron parts and surfaces

IET Image Processing, Volume 18, Issue 1, Page 47-58, 10 January 2024.
First, this article used multiple data augmentation methods to alleviate the problem of small sample size in casting datasets. Second, attention mechanism was introduced. Finally, a novel feature fusion layer structure was adopted to improve the original network model.
Pengyu Wang, Peng Jing
wiley   +1 more source

Asymptotic Analysis of Shearlet Transfom for Inpainting

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018
Supply of missing data, also known as inpainting, is an important application of image processing.Wavelets are commonly used for inpainting algorithms. Shearlet transform which is an affinetransformation is the improvement of the wavelet transform.
Süleyman Çetinkaya, Cüneyt Yazıcı, Hülya Kodal Sevindir   +2 more
doaj   +1 more source

mBCCf: Multilevel Breast Cancer Classification Framework Using Radiomic Features

International Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.
Breast cancer characterization remains a significant and challenging issue in contemporary medicine. Accurately distinguishing between malignant and benign breast lesions is crucial for effective diagnosis and treatment. The anatomical structure of malignant breast ultrasound images is more chaotic than that of benign images due to disease pathologies.
Lipismita Panigrahi, Tej Bahadur Chandra, Atul Kumar Srivastava, Neeraj Varshney, Kamred Udham Singh, Shambhu Mahato, Vasudevan Rajamohan   +6 more
wiley   +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

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

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