Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
TV-based image restoration with options for deconvolution, inpainting, and different noise models. Chan-Vese segmentation also included. Usable from C, C++, or MATLAB.
This article proposes a new algorithm to compute the projection on the set of images whose total variation is bounded by a constant. The projection is computed through a dual form...
We examine the underlying structure of popular algorithms for variational methods used in image processing. We focus here on operator splittings and Bregman methods based on a uniļ...
The advent of new matrix-valued magnetic resonance imaging modalities such as Diļ¬usion Tensor Imaging (DTI) requires extensive computational acceleration. Computational accelera...