… domain decomposition methods for the minimization of functionals formed by a discrepancy
term with respect to the data and a total variation … problem of total variation minimization. We …

… In Section 2, we review how the total variation minimization … on Schwarz methods for primal
total variation minimization are … DDMs for dual total variation minimization, is introduced in …

… We build an overlapping domain decomposition algorithm based on the SSC approach to
solve the total variation minimization (20) … As was done in [40], we partition the image domain …

… into overlapping domains yielding subdomain problems in the respective dual … total variation
minimization problem. The convergence of the proposed domain decomposition methods to …

… In this paper, we apply domain decomposition methods (DDMs) (Xu et al. in Inverse
Probl Imag 4(3):523–545, 2010) to the nonlocal TV image restoration. By DDMs, the original …

… domain decomposition methods as parallel solvers for solving total variation minimization
… We propose our domain decomposition algorithms solving image denoising, inpainting, and …

… Total variation integer optimal control problems admit solutions and necessary optimality …
We first introduce important notation in Section 2, and then the domain decomposition and …

… total variation minimization, in a wavelet framework, are by Malgouyres [13], [14]. Also, texture
modeling by statistical methods … , alternative methods, and image decomposition methods …

… In this paper, overlapping domain decomposition methods (DDMs) are used for solving the
… for subspace correction methods. We propose a stable unit decomposition, which allows us …

… decomposition that adopts total variation (TV) minimization to the moving least squares (MLS)
method … , called structure adaptive total variation (SATV) minimization. MLS with nonlocal …