Andreas Neubauer, Otmar Scherzer,
"Reconstruction of discontinuous solutions from blurred data"
, in R. L. Barbour and M. J. Carvlin and M. A. Fiddy: Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications, Serie Proc. SPIE, Vol. 3171, SPIE, Washington, Seite(n) 34-41, 1997, A. Neubauer and O. Scherzer, Reconstruction of discontinuous solutions from blurred data, in: R.L. Barbour and M.J. Carvlin and M.A. Fiddy (eds.), Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications, Vol. 3171 of Proceedings of SPIE, SPIE, Washington, 1997, 34-41
Original Titel:
Reconstruction of discontinuous solutions from blurred data
Sprache des Titels:
Englisch
Original Buchtitel:
Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications
Englische Kurzfassung:
This paper is concerned with the estimation of underlying
discontinuous functions from error-contaminated and blurred observations. Such problems occur in a number of important applications, particulary in inverse problems and signal and image reconstruction. We compare three
different regularization techniques for estimating discontinuous signals.
Veröffentlicher:
SPIE
Verlagsanschrift:
Washington
Serie:
Proc. SPIE
Volume:
3171
Seitenreferenz:
34-41
Erscheinungsjahr:
1997
Notiz zum Zitat:
A. Neubauer and O. Scherzer, Reconstruction of discontinuous solutions from blurred data, in: R.L. Barbour and M.J. Carvlin and M.A. Fiddy (eds.), Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems: Medical and Nonmedical Applications, Vol. 3171 of Proceedings of SPIE, SPIE, Washington, 1997, 34-41