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On the shearlet transform using hyperbolic functions
2014Summary: In this paper, we focus on the study of shearlet transform which is defined by using the hyperbolic functions. As a result, we check an admissibility condition such that implies the reconstruction formula. To this end, we use the concept of the classical shearlet, which indicates the position and direction of a singularity.
Zare, Masoumeh +2 more
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Shearlet and contourlet transforms for analysis of electrocardiogram signals
Computer Methods and Programs in Biomedicine, 2018Cardiac arrhythmia is an abnormal variation in the heart electrical activity that affects millions of people worldwide. Electrocardiogram (ECG) signals have been widely used to assess and diagnose cardiac abnormalities.A novel methodology based on shearlet and contourlet transforms for automatically classify an input ECG signal into different heart ...
Paulo H. J. Amorim +4 more
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Discrete linear canonical shearlet transform
International Journal of Wavelets, Multiresolution and Information ProcessingIn this paper, we introduce the continuous and discrete version of the linear canonical shearlet transform (LCST). The authors begin with the definition of the LCST and then establish a relationship between the linear canonical transform (LCT) and the LCST.
Younis Ahmad Bhat, Neyaz A. Sheikh
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A saliency detection model using shearlet transform
Multimedia Tools and Applications, 2014Visual attention is a mechanism to derive possible locations of objects or regions from natural scenes, and many studies have tried to simulate this mechanism to build saliency detection models, which would accelerate the course of many applications, such as object location, detection and recognition, image segmentation, retrieval and so on.
Lei Bao +3 more
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Light Field Reconstruction Using Shearlet Transform in TensorFlow
2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019Shearlet Transform (ST) is one of the most effective approaches for light field reconstruction from Sparsely-Sampled Light Fields (SSLFs). This demo paper presents a comprehensive implementation of ST for light field reconstruction using one of the most popular machine learning libraries, i.e. Tensor Flow. The flexible architecture of TensorFlow allows
Yuan Gao 0008 +3 more
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Shearlet Transform and the Application in Image Processing
2022Shearlet is a multi-dimensional function used for sparse representation, which has many excellent characteristics such as multi-resolution and multi-direction. It can detect the position of singular points and the direction of singular curves, and is more sensitive to the geometric structure of the image.
Haitao H. +3 more
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The Radon transform intertwines wavelets and shearlets
Applied and Computational Harmonic Analysis, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bartolucci, Francesca +3 more
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Electroencephalogram signal classification based on shearlet and contourlet transforms
Expert Systems with Applications, 2017Detection of epilepsy patterns in EEG signals with high accuracy.Development of a novel methodology based on curvelet and shearlet transforms.Extraction of a set of discriminative characteristics from the signals.Evaluation on a public data set.Results superior/comparable to the literature.
Paulo H. J. Amorim +4 more
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A Microscopic Image Classification Method Using Shearlet Transform
2013 IEEE International Conference on Healthcare Informatics, 2013This paper presents a method for representation and classification of microscopic tissue images using the shear let transform. The objective is to automatically process biopsy tissue images and assist pathologists in analyzing carcinoma cells, e.g. differentiating between benign and malignant cells in breast tissues.
Hadi Rezaeilouyeh +3 more
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Multi-focus Image Fusion by Nonsubsampled Shearlet Transform
2011 Sixth International Conference on Image and Graphics, 2011In this paper we introduce the nonsubsampled shear let transform for multi-focus image fusion. In the proposed method, source images are decomposed by nonsubsampled shear let transform firstly. Then the decomposition coefficients are merged according to the given fusion rule.
Yuan Cao 0001, Shutao Li, Jianwen Hu
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