Image de-noising and restoration represent basic problems in image processing with many different applications including engineering, reconstruction of missing data during their transmission and enhancement ..etc.
Wesam Hujab Saood, Khamees Khalaf Hasan
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In this study, we introduce an operational matrix (OM) method based on Haar wavelets (HWs) to approximate the solution of time-fractional advection–diffusion equations (TFADEs). These problems involve fractional derivatives in the Atangana–Baleanu Caputo
Khan Najeeb Alam +3 more
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REGULARIZED 3D FUNCTIONAL REGRESSION FOR BRAIN IMAGE DATA VIA HAAR WAVELETS. [PDF]
Wang X, Nan B, Zhu J, Koeppe R.
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The Phylogenetic Structure of β -diversity: Covariance Matrix Sparsification of Critical Beta-splitting Trees. [PDF]
Svihla SP, Lladser ME.
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A unified Haar wavelet collocation framework for fractional volterra integro-differential equations with application to tumor-immune dynamics modeling. [PDF]
Hamood MM, Sharif AA, Ghadle KP.
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Multi-family wavelet-based feature engineering method for short-term time series forecasting. [PDF]
Yemets K, Izonin I, Mitoulis SA.
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Novel image-free arc detection method for pantograph-catenary systems based on direct DWT-ANN signal analysis. [PDF]
Elbelkasi MS +3 more
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Comparative study of wavelet transform and Fourier domain filtering for medical image denoising. [PDF]
Saif MA, Mughalles BM, Loqman IGH.
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A practical introduction to wavelet analysis in electroretinography. [PDF]
Shwetar YJ +5 more
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