21 citations · 25 across the 13 of their papers we have counts for
15 papers
Functional Analysis and Parallel Domain Decomposition for the TV-Stokes Model
Andreas Langer, Marc Runft, Talal Rahman +2
The TV-Stokes model is a two-step variational method for image denoising that combines the estimation of a divergence-free tangent field with total variation regularization in the…
Additive Average Schwarz Method for Elliptic Mortar Finite Element Problems with Highly Heterogeneous Coefficients
Ali Khademi, Leszek Marcinkowski, Sanjib Kumar Acharya +1
In this paper, we extend the additive average Schwarz method to solve second order elliptic boundary value problems with heterogeneous coefficients inside the subdomains and across…
Alternating minimization for a single step TV-Stokes model for image denoising
Bin Wu, Xue-Cheng Tai, Talal Rahman
The paper presents a fully coupled TV-Stokes model, and propose an algorithm based on alternating minimization of the objective functional whose first iteration is exactly the modi…
Sparse-data based 3D surface reconstruction with vector matching
Bin Wu, Xue-Cheng Tai, Talal Rahman
Three dimensional surface reconstruction based on two dimensional sparse information in the form of only a small number of level lines of the surface with moderately complex struct…
Multidimensional TV-Stokes for image processing
Bin Wu, Xue-Cheng Tai, Talal Rahman
A complete multidimential TV-Stokes model is proposed based on smoothing a gradient field in the first step and reconstruction of the multidimensional image from the gradient field…
Iterative regularization algorithms for image denoising with the TV-Stokes model
Bin Wu, Leszek Marcinkowski, Xue-Cheng Tai +1
We propose a set of iterative regularization algorithms for the TV-Stokes model to restore images from noisy images with Gaussian noise. These are some extensions of the iterative…