The aim of this special issue is to focus on the growing interaction between inverse problems in imaging science and optimization, that in recent years has given rise to significant advances in both the areas: optimization-based tools have been developed to solve challenging image reconstruction problems while the experience with imaging problems has led to an improved and deeper understanding of certain optimization algorithms. The issue includes 10 peer reviewed papers and the contributions provided by these papers represent new advances in numerical optimization for inverse problems with significant e®ect in signal and image processing.
Imaging 2013 - Guest Editorial
RUGGIERO, Valeria;
2013
Abstract
The aim of this special issue is to focus on the growing interaction between inverse problems in imaging science and optimization, that in recent years has given rise to significant advances in both the areas: optimization-based tools have been developed to solve challenging image reconstruction problems while the experience with imaging problems has led to an improved and deeper understanding of certain optimization algorithms. The issue includes 10 peer reviewed papers and the contributions provided by these papers represent new advances in numerical optimization for inverse problems with significant e®ect in signal and image processing.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
