Journal article
A note on image restoration using Cp and MSE
AK Seghouane
IEEE Signal Processing Letters | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2008
Abstract
Image restoration necessitates the choice of a regularization parameter that controls the trade-off between fidelity to the blurred noisy observed image and the smoothness of the restored image. The choice of this parameter for which several estimators have been proposed is crucial for the quality of the restored image. In this letter, two estimators for choosing the regularization parameter are proposed. One is a simple closed-form approximation to the minimum of the Cp selection criterion, and the other is an approximation to the minimum of a mean squared error (MSE)-based criterion. © 2007 IEEE.
Grants
Funding Acknowledgements
Manuscript received June 1, 2007; revised September 3, 2007. National ICT Australia is funded by the Australian Department of Communications, Information Technology, and the Arts and the Australian Research Council through Backing Australia's Ability and the ICT Center of Excellence Program. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Vince D. Calhoun.