刊名:Journal of Optimization Theory and Applications
出版年:1999
出版时间:1999
年:1999
卷:103
期:1
页码:45-64
全文大小:1,002 KB
文摘
Let n, m be positive integers; we consider m×n real linear systems. We define regularized solutions of a linear system as the minimizers of an optimization problem. The objective function of this optimization problem can be seen as the Tikhonov functional when the p-norm is considered instead of the Euclidean norm. The cases p=1 and p=∞ are studied. This analysis is used to restore defocused synthetic images and real images with encouraging results.