Results 91 to 100 of about 4,538 (213)
Construction of Meyer Wavelet Using Fully Smooth Sigmiod Function
Journal of Harbin University of Science and Technology, 2019 In order to obtain better smooth effect in signal or image reconstruction, the regularity or continuous differentiability of wavelet must be increased as much as possible.
SHAO Yun-hong, DENG Cai-xia, HE Peng
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A Novel HDR Image Zero-Watermarking Based on Shift-Invariant Shearlet Transform [PDF]
, 2021 Shanshan Shi +3 more
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IEEE Access, 2019 Due to the limitation of the seismic data acquisition environment and instrument, seismic data are often subjected to random noise interference. At the same time, random noise is inevitably introduced in the processing of seismic data.
Wen-Long Hou +5 more
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Shearlets and Microlocal Analysis [PDF]
, 2012 Although wavelets are optimal for describing pointwise smoothness properties of univariate functions, they fail to efficiently characterize the subtle geometric phenomena of multidimensional singularities in high-dimensional functions. Mathematically these phenomena can be captured by the notion of the wavefront set which describes point- and direction-
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Image Processing Using Shearlets [PDF]
, 2012 Since shearlets provide nearly optimally sparse representations for a large class of functions that are useful to model natural images, many image processing methods benefit from their use. In particular, the error rates of data estimation from noise are highly dependent on the sparsity properties of the representation, so that many successful ...
Glenn R. Easley, Demetrio Labate
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Applied Sciences, 2019 A new feature extraction technique called DNST-GLCM-KSR (discrete non-separable shearlet transform-gray-level co-occurrence matrix-kernel spectral regression) is presented according to the direction and texture information of surface defects of ...
Xiaoming Liu +3 more
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Compactly supported shearlets are optimally sparse
Journal of Approximation Theory, 2011 Cartoon-like images, i.e., C^2 functions which are smooth apart from a C^2 discontinuity curve, have by now become a standard model for measuring sparse (non-linear) approximation properties of directional representation systems. It was already shown that curvelets, contourlets, as well as shearlets do exhibit (almost) optimally sparse approximation ...
Kutyniok, Gitta, Lim, Wang-Q
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Non-linear adaptive image enhancement in wireless sensor networks based on non-subsampled shearlet transform [PDF]
, 2017 Ying Tong, Jin Chen
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Analyse von Shearlet-Coorbit-Räumen
, 2018 Coorbit theory provides a framework for the study of approximation theoretic properties of certain elementary building blocks and to analyze properties of functions by considering the decay behavior of their associated wavelet transform. This transform is based on a representation of a group and properties of the group are decisive for the structure of
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Remote SensingThis study introduces a novel multi-channel predictive deconvolution method enhanced by Shearlet-based sparse regularization, aimed at improving the accuracy and stability of subsurface seismic imaging, particularly in offshore wind farm site assessments.
Yang Zhang +5 more
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