Results 11 to 20 of about 2,421 (183)
Shearlets as feature extractor for semantic edge detection: the model-based and data-driven realm. [PDF]
Proc Math Phys Eng Sci, 2020 Andrade-Loarca H, Kutyniok G, Öktem O.
europepmc +3 more sources
Automatic Image Registration of Multi-Modal Remotely Sensed Data with Global Shearlet Features. [PDF]
IEEE Trans Geosci Remote Sens, 2016 Murphy JM, Le Moigne J, Harding DJ.
europepmc +2 more sources
Abstract Shearlet Transform [PDF]
Bulletin of the Belgian Mathematical Society - Simon Stevin, 2015 Approximately ten years ago the generalization of wavelets to shearlets started its development. This paper extends shearlets (introduced in 2005 to find efficient extensions for the classical wavelet transform, see among others \textit{G. Kutyniok} and \textit{D. Labate} [``Construction of regular and irregular shearlet frames'', J.
Kamyabi-Gol, R.A., Atayi, V.
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Shearlet Smoothness Spaces [PDF]
Journal of Fourier Analysis and Applications, 2013 It is well known that spaces of Besov-Sobolev type can be characterized by building blocks such as atoms, molecules, wavelets where the smoothness is reflected by the related coefficients belonging to suitable sequence spaces. The paper contributes to this topic replacing the classical building blocks by more recent and more flexible ones, in ...
Labate, Demetrio +2 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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Mathematics, 2020 The discrete wavelet transform (DWT) is unable to represent the directional features of an image. Similarly, a fixed embedding strength is not able to establish an ideal balance between imperceptibility and robustness of a watermarked image. In this work,
Qiumei Zheng, Nan Liu, Fenghua Wang
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Shearlet Coorbit Spaces: Compactly Supported Analyzing Shearlets, Traces and Embeddings [PDF]
Journal of Fourier Analysis and Applications, 2011 The authors show that compactly supported functions with sufficient smoothness and enough vanishing moments can serve as analyzing vectors for shearlet coorbit space. This approach has bee used to prove embedding theorems for subspaces of shearlet coorbit spaces resembling shearlets on the cone into Besov spaces.
Dahlke, Stephan +2 more
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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
wiley +1 more source
Homogeneous approximation property for continuous shearlet transforms in higher dimensions
Journal of Inequalities and Applications, 2016 This paper is concerned with the generalization of the homogeneous approximation property (HAP) for a continuous shearlet transform to higher dimensions. First, we give a pointwise convergence result on the inverse shearlet transform in higher dimensions.
Yu Su, Wanchang Zhang, Wenting Su
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Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey
CAAI Transactions on Intelligence Technology, Volume 8, Issue 3, Page 581-606, September 2023., 2023 Abstract Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting new knowledge. By using DL, the extraction of advanced data representations and knowledge can be made possible. Highly effective DL techniques help to find more hidden knowledge.
Mehdi Gheisari +10 more
wiley +1 more source