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| -rw-r--r-- | Readme.md | 10 |
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@@ -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) |