Computational Optimization and Applications
                 Special Issue on
 Optimization methods for inverse problems in imaging

                Guest Editors:
  Mario Bertero, Valeria Ruggiero, Luca Zanni

The inverse problems arising in imaging, due to their ill-posedness,
are often formulated as optimization problems with a regularization
term which mitigates the effect of the ill-posedness and which leads
to high quality image reconstructions.  In recent years, a growing
interaction between imaging and optimization has given rise to
significant advances in both the areas.  Optimization-based tools
have been developed to solve challenging imaging problems,
while the experience with imaging problems has led to an improved
and deeper understanding of certain optimization algorithms.  The
special issue aims to strengthen this interaction and to stimulate
new advances in numerical optimization and regularization theory for
inverse problems and image processing. Contributions to first and
second-order methods, dual or primal-dual approaches, and Bregman-type
schemes will be considered. Applications related to microscopy,
medical imaging, and astronomical imaging are appealing topics
for the special issue. Papers connected with the use of multiprocessor
systems in the design of innovative optimization algorithms for
imaging problems are also welcome. Manuscripts should be submitted
by July 1, 2011.  To submit a paper to the special issue of COAP,
go to the journal web page at

http://www.editorialmanager.com/coap/

Login as author and select "Imaging 2011" as the article type.

Mario Bertero
Dipartimento di Informatica e Scienze dell'Informazione
Università di Genova
Via Dodecaneso 35
16146 Genova - ITALY
e-mail: bertero@disi.unige.it


Valeria Ruggiero
Dipartimento di Matematica
Università di Ferrara
Via Saragat 1, Blocco B
44100 Ferrara - ITALY
e-mail: rgv@unife.it


Luca Zanni
Dipartimento di Matematica
Università di Modena e Reggio Emilia
Via Campi 213/B
41100 Modena - ITALY
e-mail: luca.zanni@unimore.it