[Todos CMAT] Fwd: Defensa de tesis de doctorado en ingeniería eléctrica de Javier Preciozzi

[Rafael Potrie]

---------- Forwarded message ----------
From: Pablo Musé <pmuse en fing.edu.uy>
Date: 2016-12-17 11:28 GMT-03:00
Subject: Defensa de tesis de doctorado en ingeniería eléctrica de Javier
Preciozzi
To: todos_iie en fing.edu.uy, "ingenieria. matematica" <
ingenieria.matematica en fing.edu.uy>, Rafael Potrie <rpotrie en cmat.edu.uy>,
Matias Di Martino <matiasdm en fing.edu.uy>, Rodrigo Alonso <
rodrigoa en fing.edu.uy>, Alvaro Pardo <apardo en ucu.edu.uy>, "Francisco
Pedocchi (FING)" <kiko en fing.edu.uy>
Cc: "\"Andrés Almansa (MAP5)\"" <andres.almansa en parisdescartes.fr>,
jprecio en gmail.com


Estimados,

Comparto con ustedes información sobre la defensa de la tesis de doctorado
de Javier Preciozzi, a quien tuve el placer de dirigir junto con Andrés
Almansa. Esta tesis toca varias temáticas (sensado remoto, procesamiento de
imágenes, modelado físico, representaciones ralas, métodos variacionales,
optimización convexa no diferenciable, etc.) por lo que creo que puede ser
de interés para varias personas de sus institutos o departamentos. Les pido
que den difusión.

Saludos,

Pablo

*Título:* Two Restoration Problems in Satellite Imaging

*Fecha y lugar:* Jueves 22/12, 9h30. Facultad de Ingeniería. Salón Marrón
(piso 7, salón 705)

*Resumen:*

This thesis is about satellite image restoration using a variational
approach. In the first part, SMOS image restoration is analyzed. These
images have the particularity of having being obtained indirectly, from the
cross-correlation of microwave signals. Although the sensed wavelength band
is exclusively designed for scientific purposes, and all emissions in this
band are forbidden, there were (and there still are) strong radio
frequencies interferences that degrade enormously the acquired data.
Without a good restoration process, all these data remain useless.

In the second part, the problem is related to optical images from very high
resolution satellites. Because of the great amount of data, these images
have to be compressed prior transmission to Earth. This compression is
based on a wavelet transform, and most of its compression power comes from
the truncation of the obtained coefficients. The problem with this process
is that, because of the noise that is always present on any acquisition
system, some artifacts may appear on the decompressed image. Although these
artifacts are not very significant to the naked eye, they generate enormous
problems for post-processing (for instance, on the computation of Digital
Elevation Maps).

In this thesis, we propose solutions for both problems under the same
theoretical framework, developing algorithms based on variational
formulations. Although each of the problems has its particularities
(basically because of the image formation model), the way in which the
solutions are proposed is quite general, and can be easily extended to
other contexts.

*Tribunal:*

   -

   Mauricio Delbracio (IIE, Fac. de Ingeniería, U. De la República)
   -

   Fernando Paganini (Fac. De Ingeniería, Universidad ORT, Uruguay)
   -

   Pablo Sprechmann (Courant Institute, New York University, USA)
   -

   Andrés Almansa (Director de Tesis, CNRS, U. Paris Descartes, Francia)
   -

   Pablo Musé (Director de Tesis, IIE, Fac. Ingeniería, U. De la República)

Revisores externos:

   -

   François Malgouyres (Institut Mathématique de Toulouse, Université Paul
   Sabatier, Francia)
   -

   François Champagnat (ONERA, Francia)



----------------------------------------------
Pablo Musé, PhD
Full Professor of Signal Processing
Universidad de la República
Uruguay
+598 27110974 <+598%202711%200974>
iie.fing.edu.uy/~pmuse/




-- 
Rafael Potrie
rafaelpotrie en gmail.com
http://www.cmat.edu.uy/~rpotrie/
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