, 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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Suppressing seismic random noise based on non-subsampled shearlet transform and improved FFDNet
Frontiers in Earth ScienceTraditional denoising methods often lose details or edges, such as Gaussian filtering. Shearlet transform is a multi-scale geometric analysis tool which has the advantages of multi-resolution and multi-directivity.
Hua Fan, Yang Zhang, Wenxu Wang, Tao Li
doaj +1 more source
High-Resolution Reflected Wave Extraction and Imaging Enhancement for Array Acoustic Logging
Cejing jishuArray acoustic logging reflected wave imaging is an important technology to detect the geological structure and characteristics around the wellbore, especially in the evaluation of fracture-vuggy carbonate rocks and unconventional heterogeneous reservoir.
YUE Wenzheng +3 more
doaj +1 more source
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
europepmc +1 more source
Optimal sparsity allows reliable system-aware restoration of fluorescence microscopy images. [PDF]
Sci Adv, 2023 Mandracchia B +8 more
europepmc +1 more source
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
doaj
Multimodal medical image fusion in NSST domain with structural and spectral features enhancement. [PDF]
Heliyon, 2023 Khan SU +5 more
europepmc +1 more source
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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A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification. [PDF]
Sci Rep, 2023 Arian R +4 more
europepmc +1 more source