TDFusion: When Tensor Decomposition Meets Medical Image Fusion in the Nonsubsampled Shearlet Transform Domain. [PDF]
Sensors (Basel), 2023 Zhang R, Wang Z, Sun H, Deng L, Zhu H.
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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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, 2009 This thesis discusses the necessary and sufficient conditions for irregular shearlet systems tobe frames for L2(R2). For this purpose, the notions of densities for irregular shearlet systems areintroduced, and they are used as efficient tools for observing the connection between the geometryof discrete sets of space-scale-shear parameters associated ...
Kittipoom, Pisamai +1 more
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Intra-nucleus mosaic pattern (InMop) and whole-cell Haralick combined-descriptor for identifying and characterizing acute leukemia blasts on single cell peripheral blood images. [PDF]
Cytometry A, 2023 Tarquino J +4 more
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Optimal sparsity allows reliable system-aware restoration of fluorescence microscopy images. [PDF]
Sci Adv, 2023 Mandracchia B +8 more
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An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure. [PDF]
Sensors (Basel), 2022 Huang D, Tang Y, Wang Q.
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GPR data noise attenuation based on the Shearlet transform
矿业科学学报, 2017 When using ground penetrating radar(GPR) to detect the underground target distribution, valid signal in receiving data tend to be susceptible to noise and the interference of air-ground waves, which will affect the accuracy of target recognition and ...
Zheng Jing +4 more
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Brinjal leaf diseases detection based on discrete Shearlet transform and Deep Convolutional Neural Network. [PDF]
PLoS One, 2023 Abisha S +3 more
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Multimodal medical image fusion in NSST domain with structural and spectral features enhancement. [PDF]
Heliyon, 2023 Khan SU +5 more
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Brain Tumor Segmentation Based on Bendlet Transform and Improved Chan-Vese Model. [PDF]
Entropy (Basel), 2022 Meng K, Cattani P, Villecco F.
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