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Convex multiclass segmentation with shearlet regularization [PDF]
International Journal of Computer Mathematics, 2012 Segmentation plays an important role in many preprocessing stages in image processing. Recently, convex relaxation methods for image multi-labeling were proposed in the literature. Often these models involve the total variation (TV) semi-norm as regularizing term.
S. Häuser, Gabriele Steidl
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Face Antispoofing Using Shearlets: An Empirical Study [PDF]
SAIEE Africa Research Journal, 2019 Face recognition - A promise made to the modern technologists as the ultimate access control or surveillance technology. However, similar to its fingerprint spoofing counterpart, current face antispoofing technology is still vulnerable to inexpensive ...
Dustin van der Haar
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Shearlet approximation of functions with discontinuous derivatives
Journal of Approximation Theory, 2015 We demonstrate that shearlet systems yield superior $N$-term approximation rates compared with wavelet systems of functions whose first or higher order derivatives are smooth away from smooth discontinuity curves. We will also provide an improved estimate for the decay of shearlet coefficients that intersect a discontinuity curve non-tangentially.
Philipp Petersen
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Shearlet frames with short support [PDF]
arXiv, 2011 Compactly supported shearlets have been studied in both theory and applications. In this paper, we construct symmetric compactly supported shearlet systems based on pseudo splines of type II. Specially, using B-splines, we construct shearlet frame having explicit analytical forms which is important for applications.
Li, Song, Shen, Yi
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shearlets on bounded domains and analysis of singularities using compactly supported shearlets
, 2016 In this thesis we discuss and extend the theory of shearlet systems. These systems were introduced by Guo, Kutyniok, Labate, Lim and Weiss, and have found a multitude of applications in signal- and image processing and related fields since then. The results of this thesis are split into two different but connected parts.
P. Petersen
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An Automated Brain Image Analysis System for Brain Cancer using Shearlets
Computer systems science and engineering, 2022 In this paper, an Automated Brain Image Analysis (ABIA) system that classifies the Magnetic Resonance Imaging (MRI) of human brain is presented. The classification of MRI images into normal or low grade or high grade plays a vital role for the early ...
R. Muthaiyan, M. Malleswaran
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$p$-adic Dual Shearlet Frames [PDF]
Sahand Communications in Mathematical Analysis, 2019 We introduced the continuous and discrete $p$-adic shearlet systems. We restrict ourselves to a brief description of the $p$-adic theory and shearlets in real case.
Mahdieh Fatemidokht +1 more
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PULMONARY EMPHYSEMA ANALYSIS USING SHEARLET BASED TEXTURES AND RADIAL BASIS FUNCTION NETWORK
International Journal of Advances in Signal and Image Sciences, 2020 The emergence of High Resolution Computed Tomography (HRCT) images of the lungs clearly shows the parenchymal lung architecture and thus the quantification of obstructive lung disease becomes most accurate.
Wogderes Semunigus
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Abstract Shearlet Transform [PDF]
Bulletin of the Belgian Mathematical Society - Simon Stevin, 2015 In this paper, the shearlet theory is extended from Euclidean spaces to locally compact groups. More precisely, the abstract shearlet group is defined as a 3-fold semidirect product and the abstract shearlet transform is constructed by means of a quasiregular representation of the semidirect product group.
Kamyabi-Gol, R.A., Atayi, V.
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Advanced Intelligent Systems, Volume 5, Issue 11, November 2023., 2023 Expectation‐maximization algorithm generative adversarial network (EMA‐GAN) is proposed to fuse images from different modalities. This is an EM learning framework based on GAN that maximizes the likelihood of fused results and estimates potential variables.
Xiuliang Xi +5 more
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