Assessment of Internal Damage in Sandwich Structures by Post-Processing of Mode Shapes Using Curvelet Transform. [PDF]
Materials (Basel), 2021 Katunin A, Ručevskis S.
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Normalized group activations based feature extraction technique using heterogeneous data for Alzheimer's disease classification. [PDF]
PeerJ Comput SciVaithianathan K +5 more
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Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network [PDF]
Asian Pac J Cancer Prev, 2018 P S, R T.
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A novel MRI PET image fusion using shearlet transform and pulse coded neural network. [PDF]
Sci RepSatyanarayana V, Mohanaiah P.
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Medical Image Fusion Based on Fast Finite Shearlet Transform and Sparse Representation. [PDF]
Comput Math Methods Med, 2019 Tan L, Yu X.
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A Risk Assessment Framework Proposal Based on Bow-Tie Analysis for Medical Image Diagnosis Sharing within Telemedicine. [PDF]
Sensors (Basel), 2021 Poleto T +5 more
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Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. [PDF]
Patterns (N Y), 2022 Wu W +9 more
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Efficient processing of fluorescence images using directional multiscale representations. [PDF]
Math Model Nat Phenom, 2014 Labate D +4 more
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Compressed sensing for electron cryotomography and high-resolution subtomogram averaging of biological specimens. [PDF]
Structure, 2022 Böhning J, Bharat TAM, Collins SM.
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Blind deconvolution using shearlet -tv regularization
, 2019 In this article we propose two minimization models for blind deconvolution. In the first model, we use shearlet transform as a regularization term for recovering image. Also total variation method is used as a regularization term for point spread function(PSF). To speed up the process, Fast ADMM approach is exploited.
MOUSAVİ, Z. +2 more
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