Regularizing iterations for image restoration | Toke Koldborg Jensen
| | Abstract | Image restoration problems are set up as large-scale inverse problems and studied. Interesting properties and artifacts are observed and analyzed intensively both by means of direct calculations, and by means of the iterative algorithms LSQR and GMRES. Properties of the Krylov subspaces of the iterative algorithms are studied, and different approaches for enhancing the regularized solutions are proposed and evaluated. Stopping criteria for the iterative algorithms based on the obtained insight are also investigated. | | Keywords | Image restoration, iterative algorithms, Krylov subspaces, regularization, filter factors, stopping criteria | | Type | Master's thesis [Academic thesis] | | Year | 2003 | | Publisher | Informatics and Mathematical Modelling, Technical University of Denmark, DTU | | Address | Richard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby | | Series | IMM-THESIS-2003-18 | | Electronic version(s) | [pdf] | | BibTeX data | [bibtex] | | IMM Group(s) | Scientific Computing |
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