Results 81 to 90 of about 726,841 (202)

Image registration using the shearlet transform [PDF]

SPIE Proceedings, 2015
In this paper, we present an algorithm for image registration utilizing the shearlet representation. The shearlet framework allows one to collect multi-scale and multi-directional feature information from multidimensional data that can be used to create key feature vectors that are scale, rotation, and shift invariant. These key feature vectors produce
Glenn R. Easley, Monica Barbu-McInnis, Demetrio Labate   +2 more
openaire   +1 more source

An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images

CAAI Transactions on Intelligence Technology, Volume 10, Issue 3, Page 842-857, June 2025.
Abstract Breast cancer is one of the major causes of deaths in women. However, the early diagnosis is important for screening and control the mortality rate. Thus for the diagnosis of breast cancer at the early stage, a computer‐aided diagnosis system is highly required.
Kiran Jabeen, Muhammad Attique Khan, Ameer Hamza, Hussain Mobarak Albarakati, Shrooq Alsenan, Usman Tariq, Isaac Ofori   +6 more
wiley   +1 more source

Efficient design of a low redundant discrete shearlet transform

, 2009
Recently, there has been a huge interest in multiresolution representations that also perform a multidirectional analysis. The Shearlet transform provides both a multiresolution analysis (such as the wavelet transform), and at the same time an optimally ...
Goossens, Bart, Luong, Hiep, Hiep Luong, Aleksandra Pizurica, Aelterman, Jan, Pizurica, Aleksandra, Jan Aelterman, Wilfried Philips, Bart Goossens, Philips, Wilfried   +9 more
core   +1 more source

Analysis and detection of surface discontinuities using the 3D continuous shearlet transform [PDF]

, 2011
Directional multiscale transforms such as the shearlet transform have emerged in recent years for their ability to capture the geometrical information associated with the singularity sets of bivariate functions and distributions. One of the most striking
Kanghui Guo, Demetrio Labate, Labate, Demetrio, Guo, Kanghui   +3 more
core   +1 more source

A Time‐Adaptive Diffusion‐Based CT Image Denoising Method by Processing Directional and Non‐Local Information

International Journal of Imaging Systems and Technology, Volume 35, Issue 2, March 2025.
ABSTRACT Low‐dose computed tomography (CT) images are prone to noise and artifacts caused by photon starvation and electronic noise. Recently, researchers have explored the use of transformer‐based neural networks combined with generative diffusion models, showing promising results in denoising CT images.
Farzan Niknejad Mazandarani, Paul Babyn, Javad Alirezaie   +2 more
wiley   +1 more source

Γ-convergence of a shearlet-based Ginzburg–Landau energy [PDF]

, 2020
We introduce two shearlet-based Ginzburg–Landau energies, based on the continuous and the discrete shearlet transform. The energies result from replacing the elastic energy term of a classical Ginzburg–Landau energy by the weighted -norm of a shearlet ...
Petersen, PC, Süli, Endre
core   +1 more source

Calderón–Zygmund theory on some Lie groups of exponential growth

Mathematische Nachrichten, Volume 298, Issue 1, Page 113-141, January 2025.
Abstract Let G=N⋊A$G = N \rtimes A$, where N$N$ is a stratified Lie group and A=R+$A= \mathbb {R}_+$ acts on N$N$ via automorphic dilations. We prove that the group G$G$ has the Calderón–Zygmund property, in the sense of Hebisch and Steger, with respect to a family of flow measures and metrics.
Filippo De Mari, Matteo Levi, Matteo Monti, Maria Vallarino   +3 more
wiley   +1 more source

SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics

Applied Sciences, 2017
This paper presents a new filtering approach for Synthetic Aperture Radar (SAR) interferometric phase noise reduction in the shearlet domain, depending on the coherent statistical characteristics.
Yonghong He, Jianjun Zhu, Haiqiang Fu, Qinghua Xie, Bing Xu, Bing Zhang   +5 more
doaj   +1 more source

Warp-knitted Fabric Defect Segmentation Based on the Shearlet Transform

, 2017
The Shearlet transform has been a burgeoning method applied in the area of image processing recently which, differing from the Wavelet transform, has excellent properties in processing singularities for multidimensional signals. Not only is it similar to
Dong Xia, Pibo Ma, Gaoming Jiang, Zhijia Dong   +3 more
core   +1 more source

A multi‐path residual network for image denoising based on edge prior information

IET Image Processing, Volume 18, Issue 14, Page 4514-4530, 11 December 2024.
To overcome the problem of the smoothness and loss of high‐frequency details at edges in image denoising, a multi‐path residual network using edge prior information is proposed. Firstly, the edge is recovered from the noisy image via the edge extraction module.
Xuefei Bai, Yongsong Wan, Weiming Wang
wiley   +1 more source