Results 21 to 30 of about 566 (171)

A novel MRI PET image fusion using shearlet transform and pulse coded neural network [PDF]

Scientific Reports
Image fusion involves combining details from two or more different imaging techniques, say MRI and PET images and provides a better image for diagnosis and treatment. Despite the fact standard spatial domain methods are being used successfully, including
Vella Satyanarayana, P. Mohanaiah
doaj   +2 more sources

Continuity properties of the shearlet transform and the shearlet synthesis operator on the Lizorkin type spaces

Mathematische Nachrichten, 2022
AbstractWe develop a distributional framework for the shearlet transform and the shearlet synthesis operator , where is the Lizorkin test function space and is the space of highly localized test functions on the standard shearlet group . These spaces and their duals are called Lizorkin type spaces of test functions and distributions.
Francesca Bartolucci, Stevan Pilipovic, Nenad Teofanov   +2 more
exaly   +5 more sources

Shearlet Transform Applied to a Prostate Cancer Radiomics Analysis on MR Images

Mathematics
For decades, wavelet theory has attracted interest in several fields in dealing with signals. Nowadays, it is acknowledged that it is not very suitable to face aspects of multidimensional data like singularities and this has led to the development of ...
Rosario Corso, Alessandro Stefano, Giuseppe Salvaggio, Albert Comelli   +3 more
doaj   +3 more sources

A Comparative Study of Shearlet, Wavelet, Laplacian Pyramid, Curvelet, and Contourlet Transform to Defect Detection [PDF]

Journal of Soft Computing in Civil Engineering, 2023
This study presents a new approach based on shearlet transform for the first time to detect damages, and compare it with the wavelet, Laplacian pyramid, curvelet, and contourlet transforms to specify different types of defects in plate structures ...
Sepideh Vafaie, Eysa Salajegheh
doaj   +1 more source

Clifford-Valued Shearlet Transforms on Cl(P,Q)-Algebras

Journal of Mathematics, 2022
The shearlet transform is a promising and powerful time-frequency tool for analyzing nonstationary signals. In this article, we introduce a novel integral transform coined as the Clifford-valued shearlet transform on Cl(p,q) algebras which is designed to
Firdous A. Shah, Aajaz A. Teali, Mawardi Bahri   +2 more
doaj   +1 more source

A three-dimensional microseismic downhole noise suppression based on polarization filtering method in Shearlet transform

Frontiers in Earth Science, 2023
Microseismic noise suppression is widely used in the exploration of unconventional oil and gas resources. The effective microseismic downhole signals have extremely weak energy and are contaminated by strong interference, making data processing and ...
Li Han, Dongyan Wang, Pengjun Yu
doaj   +1 more source

Quaternionic shearlet transform [PDF]

Optik, 2018
Abstract The shearlet transform has been shown to be a valuable and powerful time–frequency analyzing tool for optics and non-stationary signal processing. In this article, we propose a novel transform called quaternionic shearlet transform which is designed to represent quaternion-valued signals at different scales, locations and orientations.
Firdous A. Shah, Azhar Y. Tantary
openaire   +1 more source

Perceptual watermarking for Discrete Shearlet transform [PDF]

2014 5th European Workshop on Visual Information Processing (EUVIP), 2014
This paper presents a new perceptual watermarking model for Discrete Shearlet transform (DST). DST provides the optimal representation [10] of the image features based on multi-resolution and multi-directional analysis. This property can be exploited on for watermark embedding to achieve the watermarking imperceptibility by introducing the human visual
Baharak Ahmaderaghi, Jesús Martínez del Rincón, Fatih Kurugollu, Ahmed Bouridane   +3 more
openaire   +3 more sources

The shearlet transform and Lizorkin spaces [PDF]

, 2020
17
Bartolucci, Francesca, Pilipović, Stevan, Teofanov, Nenad   +2 more
openaire   +3 more sources

Use of the shearlet energy entropy and of the support vector machine classifier to process weak microseismic and desert seismic signals

Comptes Rendus. Géoscience, 2020
Low-amplitude signal detection is a key procedure in borehole microseismic and desert seismic exploration. Usually, signals are difficult to detect due to their low amplitude and noise contamination.
Li, Yue, Fan, Shiyu, Zhang, Chao, Yang, Baojun   +3 more
doaj   +1 more source