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.
|RAosLysaker4thOp (int iterations=8, double t=0.5, double deltaGradient=16.0, double asigma=5.0, bool iirFlag=false, bool nonLinearFlag=true)|
|virtual void||report (FILE *file)|
|virtual double||g (int i, int j)|