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suivant: . SAR images restoration: monter: demosar précédent: Functional:

Numerical results:

Comparison with the Rudin-Osher-Fatemi model:

Barbara
Initial image ($ f$) $ u$ (AABFC model) $ u$ (ROF model)
($ \lambda=1$ and $ \mu=44$) ( $ \lambda=43$)
\includegraphics[scale=0.25]{barbara.PS} \includegraphics[scale=0.25]{uassise441.PS} \includegraphics[scale=0.25]{uvarassise43.PS}
Reconstruction ($ u+v$) ($ v+150.0$) (AABFC model) $ v+150.0$ (ROF model)
\includegraphics[scale=0.25]{u+vassise441.PS} \includegraphics[scale=0.25]{vassise441.PS} \includegraphics[scale=0.25]{vvarassise43.PS}

Comparison with the Rudin-Osher-Fatemi model (2):

Lenna $ u$ (AABFC) ( $ \lambda=0.1$ , $ \mu=70$) $ u$ (ROF) ( $ \lambda=57$)
\epsfig{figure=lenna.PS,scale=0.5} \epsfig{figure=udeclenna507001.PS,scale=0.5} \epsfig{figure=uvarlenna5057.PS,scale=0.5}
Noisy image ($ \sigma=50$) $ v+150.0$ (Meyer) $ v+150.0$ (ROF)
\epsfig{figure=lenna50.PS,scale=0.5} \epsfig{figure=vdeclenna507001.PS,scale=0.5} \epsfig{figure=vvarlenna5057.PS,scale=0.5}
Compararison for $ \sigma=50$. SNR=7.05

Textured component:

Classification of a textured image with 4 textures
Initial image ($ f$) Textured component ($ v$)
\includegraphics[scale=0.7]{im.PS} \includegraphics[scale=0.7]{v5tex100.PS}
Contours Classification
\includegraphics[scale=0.7]{res-cont555.PS} \includegraphics[scale=0.7]{res-niv555.PS}


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suivant: . SAR images restoration: monter: demosar précédent: Functional:
Jean-Francois.Aujol 2003-06-30