Model Selection Criteria for Image Restoration

Date

Authors

Seghouane, Abd-Krim

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

In this brief, the image restoration problem is approached as a learning system problem, in which a model is to be selected and parameters are estimated. Although the parameters which correspond to the restored image can easily be obtained, their quality

Keywords

Keywords: Akaike information criterion (AIC); Bayesian information criterion (BIC); Image restoration; Model selection; Regularization; Bayesian networks; Image reconstruction; Parameter estimation; Philosophical aspects; Restoration; algorithm; article; artificial Akaike information criterion (AIC); Bayesian information criterion (BIC); Image restoration; Model selection; Regularization

URI

http://hdl.handle.net/1885/54176

Collections

ANU Research Publications

Source

IEEE Transactions on Neural Networks

Type

Journal article

DOI

10.1109/TNN.2009.2024146

Restricted until

2037-12-31

Downloads

File

Description

01_Seghouane_Model_Selection_Criteria_for_2009.pdf (1.05 MB)