论文信息 - Generalized Solution of Linear Systems and Image Restoration

Generalized Solution of Linear Systems and Image Restoration

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.

T. Castrignanò | F. Zirilli | F. Aluffi-Pentini | P. Maponi | V. Parisi

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