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shock

$ \bigcirc$Name


shock Rudin shock filter




$ \bigcirc$Command Synopsis


shock [-n n] [-s s] in out



-n n : number of iterations (default: 10)

-s s : scale step (in [0,1], default 0.1)

in : input image

out : output image




$ \bigcirc$Function Summary


Fimage shock (in , n , s )

Fimage in ;

int *n ;

float *s ;




$ \bigcirc$Description


This module solves Rudin shock-filter evolution equation

$\displaystyle {\frac{{\partial u}}{{\partial t}}}$ = - sgn($\displaystyle \Delta$u) . | Du|,

where sgn is the sign function, $ \Delta$u the Laplacian of u and | Du| the Euclidean norm of its gradient. All derivatives are estimated using finite differences.




$ \bigcirc$Version 1.1


Last Modification date : Thu Nov 29 20:23:56 2001


$ \bigcirc$Author


Lionel Moisan






next up previous contents index
Next: tvdenoise Up: Reference Previous: Principle of the algorithm   Contents   Index
mw 2004-05-05