Methodology of inverse problems and more specifically probabilististic methods such as maximum entropy, maximum entropy in the mean, the Bayesian estimation theory and data fusion.
- Inverse problems
- Source separation
- Data fusion
- Image reconstruction and tomography
- Deconvolution
- Super-Resolution
- Fourier synthesis
- X-ray computed tomography
- Diffraction tomography
- Non linear inverse scattering
- Shape reconstruction.
- Non Destuctif Testing (NDT)
- Eddy current tomography
Demos Matlab codes:
-
Deconvolution:
A teaching demonstration of simple and classical regularization methods for impulse response identification and deconvolution. Get the Matlab pcode and run it:
[ Matlab 7 : decmalp1.p [ Matlab 6.5 : decmalp1.p -
Tomo1:
A teaching demonstration of an X ray computed tomography from only two projections. Get the Matlab pcode and run it.
[ Matlab 7 : Tomo1.tar.gz or Tomo1.zip [ Matlab 6.5 : Tomo1.tar.gz or Tomo1.zip -
Tomo2:
A teaching demonstration of an X ray computed tomography from any number of paralel projections. Get the Matlab pcode and run it.
[ Matlab 7 : Tomo2.tar.gz or Tomo2.zip [ Matlab 6.5 : Tomo2.tar.gz or Tomo2.zip -
Tomo4:
A teaching demonstration of an X ray computed tomography from any number of paralel or conic projections. Get the Matlab pcode and run it.
[ Matlab 7 : Tomo4.tar.gz or Tomo4.zip [ Matlab 6.5 : Tomo4.tar.gz or Tomo4.zip
|Data fusion |Image restoration |Deconvolution
|Super-Resolution |Fourier synthesis
|Diffraction tomography |Non linear inverse problems
|Shape reconstruction |Non Destuctif Testing