A Note on Two Classical Enhancement Filters and Their Associated PDE's
International Journal of Computer Vision
Wavelets and curvelets for image deconvolution: a combined approach
Signal Processing - Special section: Security of data hiding technologies
Curvature-Driven PDE Methods for Matrix-Valued Images
International Journal of Computer Vision
Video coding using 3D dual-tree wavelet transform
Journal on Image and Video Processing
Speckle reduction by adaptive window anisotropic diffusion
Signal Processing
Lattice Boltzmann simulations of homogeneous isotropic turbulence
Computers & Mathematics with Applications
Adaptive total variation denoising based on difference curvature
Image and Vision Computing
Journal of Biomedical Imaging - Special issue on Machine Learning in Medical Imaging
A unified approach to noise removal, image enhancement, and shape recovery
IEEE Transactions on Image Processing
The curvelet transform for image denoising
IEEE Transactions on Image Processing
SURE-LET Multichannel Image Denoising: Interscale Orthonormal Wavelet Thresholding
IEEE Transactions on Image Processing
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Harmonic analysis filtering methods are used to decompose 3D forced and decaying turbulent fields into coherent and incoherent parts. The filtering methods are the curvelets, wavelet and dual-tree complex wavelet filtering techniques. The methods are applied against the velocity fields of forced and decaying homogeneous isotropic turbulence. The velocity fields are generated using the Lattice Boltzmann Method (LBM) with a resolution of 128^3 where the Taylor micro-scale Reynolds numbers are 72 and 29 for forced and decaying fields, respectively. The main objective of this study is to use other different filtering methods rather than depending only on wavelet and Fourier decompositions. Using different filtering methods may help in turbulence modeling, improving our knowledge about the structure of turbulent flow, choosing the appropriate filtering method and extracting general characteristics of the flow under study. Results show that the coherent and the random incoherent fields contribute to all scales in the inertial range, but the statistical behavior is different for each field. The three filtering methods approximately identify the coherent fields with the same geometrical shapes of the organized vortical structures. The statistical properties such as flatness, skewness and spectrum of the extracted fields (coherent and incoherent parts) are also investigated for each filtering method. The joint PDFs between the third and second invariants of the velocity gradient tensor are also studied. The joint PDFs for the coherent parts are found similar to previous topological studies of isotropic turbulence; however the incoherent PDFs show different topological features.