Results 111 to 120 of about 6,475 (267)
Shearlet-based detection of flame fronts [PDF]
Experiments in Fluids, 2016 Identifying and characterizing flame fronts is the most common task in the computer-assisted analysis of data obtained from imaging techniques such as planar laser-induced fluorescence (PLIF), laser Rayleigh scattering (LRS), or particle imaging velocimetry (PIV).
Emily J. King +2 more
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Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis [PDF]
, 2012 Recently, compressed sensing techniques in combination with both wavelet and directional representation systems have been very effectively applied to the problem of image inpainting.
King, Emily J. +2 more
core
Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography [PDF]
Inverse Problems, 2018 The high complexity of various inverse problems poses a significant challenge to model-based reconstruction schemes, which in such situations often reach their limits.
T. Bubba +6 more
semanticscholar +1 more source
The nonexistence of shearlet scaling functions
Applied and Computational Harmonic Analysis, 2012 AbstractOver the past five years, the directional representation system of shearlets has received much attention and has been shown to exhibit many advantageous properties. Over this time period, there have been a number of attempts to associate shearlet systems with a multiresolution analysis (MRA).
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On Quaternion Shearlet Transforms
, 2018 In this paper, we introduce the notion of quaternion shearlet transform- which is an extension of the ordinary shearlet transform. Firstly, we study the fundamental properties of quaternion shearlet transforms and then establish some basic results including Moyal's and inversion formulae.
Shah, Firdous A., Tantary, Azhar Y.
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Blind Quality Evaluation for Screen Content Images Based on Regionalized Structural Features
Algorithms, 2020 Currently, screen content images (SCIs) are widely used in our modern society. However, since SCIs have distinctly different properties compared to natural images, traditional quality assessment methods of natural images cannot precisely evaluate the ...
Wu Dong, Hongxia Bie, Likun Lu, Yeli Li
doaj +1 more source
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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Image Sequence Fusion and Denoising Based on 3D Shearlet Transform
Journal of Applied Mathematics, 2014 We propose a novel algorithm for image sequence fusion and denoising simultaneously in 3D shearlet transform domain. In general, the most existing image fusion methods only consider combining the important information of source images and do not deal ...
Liang Xu, Junping Du, Zhenhong Zhang
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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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