Extensions of the cross referencing method for choosing good regularized solutions to image recovery problems

Document Type

Conference Proceeding

Publication Date



It is well known that regularization techniques are often required to obtain stable approximate solutions to ill-posed problems in imaging. Most regularization techniques require the choice of one or more parameters. In previous work, the cross referencing method has proven to be an effective method in obtaining such approximate solutions. It is also true that varying the singular values of the regularization operator independently can provide great improvement in the quality of the regularized solution. In the present paper, we incorporate this idea as an extension to the cross referencing method.

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering