An extension of Tikhonov regularization based on varying the singular values of the regularization operator
We consider the numerical solution of first kind Fredholm integral equations. Such integral equations occur in signal processing and image recovery problems among others. For this numerical study, the kernel κ(χ, t) is the sine kernel. This study compares traditional Tikhonov regularization with an extension of Tikhonov regularization which updates the solution found by the usual method. In this work, both the identity, derivative and Laplacian operators are used as regularizers and tests were done with and without error in the image data g(χ). The results indicate that the extension can provide a decrease in error of about two orders of magnitude.
Proceedings of SPIE - The International Society for Optical Engineering
An extension of Tikhonov regularization based on varying the singular values of the regularization operator.
Proceedings of SPIE - The International Society for Optical Engineering,
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