From 1f30c56fa1de2f38ded54d3c2bd988645cdb2ea5 Mon Sep 17 00:00:00 2001 From: Daniil Kazantsev Date: Tue, 3 Apr 2018 22:25:36 +0100 Subject: readme update4 --- Readme.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/Readme.md b/Readme.md index c5dba09..b5759a8 100644 --- a/Readme.md +++ b/Readme.md @@ -13,8 +13,8 @@ The core modules are written in C-OMP and CUDA languages and wrappers for Matlab ## Package modules (regularisers): -1. * Rudin-Osher-Fatemi Total Variation (explicit PDE minimisation scheme) [2D/3D GPU/CPU] (1) -2. * Fast-Gradient-Projection Total Variation [2D/3D GPU/CPU] (2) +1. Rudin-Osher-Fatemi Total Variation (explicit PDE minimisation scheme) [2D/3D GPU/CPU] (1) +2. Fast-Gradient-Projection Total Variation [2D/3D GPU/CPU] (2) ### Installation: @@ -25,9 +25,9 @@ The core modules are written in C-OMP and CUDA languages and wrappers for Matlab #### Matlab ### References: -1. * Rudin, L.I., Osher, S. and Fatemi, E., 1992. Nonlinear total variation based noise removal algorithms. Physica D: nonlinear phenomena, 60(1-4), pp.259-268. -2. * Beck, A. and Teboulle, M., 2009. Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems. IEEE Transactions on Image Processing, 18(11), pp.2419-2434. -3. * Lysaker, M., Lundervold, A. and Tai, X.C., 2003. Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time. IEEE Transactions on image processing, 12(12), pp.1579-1590. +1. Rudin, L.I., Osher, S. and Fatemi, E., 1992. Nonlinear total variation based noise removal algorithms. Physica D: nonlinear phenomena, 60(1-4), pp.259-268. +2. Beck, A. and Teboulle, M., 2009. Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems. IEEE Transactions on Image Processing, 18(11), pp.2419-2434. +3. Lysaker, M., Lundervold, A. and Tai, X.C., 2003. Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time. IEEE Transactions on image processing, 12(12), pp.1579-1590. ### License: [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0) -- cgit v1.2.3