#include <RAosLysaker4thOp.hpp>
Inheritance diagram for RAosLysaker4thOp:


Purpose: Lysaker with strong edge detection
Better non-linear preservation of details in TV norme restoration.
Fast Computation of Perona recursive flow.
Thomas LU model.
Semi-Implicit solver using AOS additive splitting
(I - tau * A) * uNew= uOld
Should be better than LOD: Rotation invariant.
LOD is sequential (handelling each direction x y z in sequence)
AOS is parallel (handelling each direction x y z at the same time)
AOS build an average operator
Both LOD and AOS are designed for large image restoration, O(N) in time ang space!!!
Papers: "Recursivity and PDE's in image processing",
L. Alvarez, R. Deriche and F Santana, Spain 1998.
"Efficient and Reliable Schemes for Nonlinear Diffusion Filtering",
Joachim. Weickert & all, IEEE transactions on Image Processing, vol7, n3, March 1998.
"Noise Removal using Fourth-Order Partial Differential Equations
with Applications to Medical Magnetic Resonance Images in Space and time.",
Marius Lysaker & Arvid Lundervold , Report 2002, UCLA.
@ Copyrights: Bernard De Cuyper & Eddy Fraiha 2003, Eggs & Pictures. MIT/Open BSD copyright model.
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