A New Shearlet Framework for Image Denoising
Iranian Journal of Electrical and Electronic Engineering, 2016 Traditional noise removal methods like Non-Local Means create spurious boundaries inside regular zones. Visushrink removes too many coefficients and yields recovered images that are overly smoothed.
E. Ehsaeyan
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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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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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Defect Detection in Magnetic Tile Images Based on Non-subsampled Shearlet Transform
工程科学与技术, 2017 :A novel surface defect detection method based on non-subsampled shearlet transform (NSST) was proposed for detecting defects with random noise,low contrast,uneven background and regularly distributed grinding texture in magnetic tile surface images.The ...
YANG Chengli +4 more
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Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain. [PDF]
Sensors (Basel), 2018 Huang Y, Bi D, Wu D.
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A novel glomerular basement membrane segmentation using neutrsophic set and shearlet transform on microscopic images. [PDF]
Health Inf Sci Syst, 2017 Guo Y, Ashour AS, Sun B.
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Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet Domain. [PDF]
Diagnostics (Basel), 2022 Diwakar M +7 more
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Microscopic medical image classification framework via deep learning and shearlet transform. [PDF]
J Med Imaging (Bellingham), 2016 Rezaeilouyeh H +2 more
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A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification. [PDF]
Sci Rep, 2023 Arian R +4 more
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