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9 December 1997 Extensions of the cross-referencing method for choosing good regularized solutions to image recovery problems
John W. Hilgers, Barbara S. Bertram, Monica M. Alger, William R. Reynolds
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Proceedings Volume 3171, Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications; (1997) https://doi.org/10.1117/12.279729
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States
Abstract
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.
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John W. Hilgers, Barbara S. Bertram, Monica M. Alger, and William R. Reynolds "Extensions of the cross-referencing method for choosing good regularized solutions to image recovery problems", Proc. SPIE 3171, Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications, (9 December 1997); https://doi.org/10.1117/12.279729
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Image restoration
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