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Title Regularizing iterations for image restoration
Author Jensen, Toke Koldborg (Informatics and Mathematical Modelling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Master's thesis
Year 2003
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
Original PDF imm2034.pdf (3.52 MB)
Admin Creation date: 2006-06-22    Update date: 2007-09-11    Source: dtu    ID: 58625    Original MXD