3 papers
math.NA2024
Applications of multiscale hierarchical decomposition to blind deconvolution
Tobias Wolf, Stefan Kindermann, Elena Resmerita +1
The blind image deconvolution is a challenging, highly ill-posed nonlinear inverse problem. We introduce a Multiscale Hierarchical Decomposition Method (MHDM) that is iteratively s…
math.NA2023
Multiscale hierarchical decomposition methods for images corrupted by multiplicative noise
Joel Barnett, Wen Li, Elena Resmerita +1
Recovering images corrupted by multiplicative noise is a well known challenging task. Motivated by the success of multiscale hierarchical decomposition methods (MHDM) in image proc…
math.AP2012
Image Processing Variations with Analytic Kernels
John B. Garnett, Triet M. Le, Luminita A. Vese
Let be real. The Rudin-Osher-Fatemi model is to minimize , in which one thinks of as a given image, as a "tuning para…