Resolution Beyond the Diffraction Limit for Regularized Object Restoration
- 1 March 1980
- journal article
- research article
- Published by Taylor & Francis in Optica Acta: International Journal of Optics
- Vol. 27 (3) , 307-320
- https://doi.org/10.1080/713820228
Abstract
We propose a new formulation of Miller's regularization theory, which is particularly suitable for object restoration problems. By means of simple geometrical arguments, we obtain upper and lower bounds for the errors on regularized solutions. This leads to distinguish between ‘Hölder continuity’ which is quite good for practical computations and ‘logarithmic continuity’ which is very poor. However, in the latter case, one can reconstruct local weighted averages of the solution. This procedure allows for precise valuations of the resolution attainable in a given problem. Numerical computations, made for object restoration beyond the diffraction limit in Fourier optics, show that, when logarithmic continuity holds, the resolution is practically independent of the data noise level.Keywords
This publication has 27 references indexed in Scilit:
- Restoration of optical objects using regularizationOptics Letters, 1978
- On radar target shape estimation using algorithms for reconstruction from projectionsIEEE Transactions on Antennas and Propagation, 1978
- On the extrapolation of optical image dataJournal of Mathematical Physics, 1976
- Generalized Inverses in Reproducing Kernel Spaces: An Approach to Regularization of Linear Operator EquationsSIAM Journal on Mathematical Analysis, 1974
- Application of electromagnetic inverse boundary conditions to profile characteristics inversion of conducting spherical shapesIEEE Transactions on Antennas and Propagation, 1974
- Application of the Tichonov regularization algorithm to object restorationOptics Communications, 1973
- On the necessity of nearly-best-possible methods for analytic continuation of scattering dataJournal of Mathematical Physics, 1973
- Antenna synthesis and solution of inverse problems by regularization methodsIEEE Transactions on Antennas and Propagation, 1972
- Least Squares Methods for Ill-Posed Problems with a Prescribed BoundSIAM Journal on Mathematical Analysis, 1970
- Restoration, Resolution, and NoiseJournal of the Optical Society of America, 1968