Inverse filtering of optical images

Author

Dabóczi, Tamàs ; Bako, T.B.

Author_Institution

Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Hungary

Volume

50

Issue

4

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

991

Lastpage

994

Abstract

The quality of images is limited by the performance of the optical system used. The imperfections of the optical system cause distortion of the image. If the distortion is known it can be (partly) compensated. This procedure is called inverse filtering. The problem is, however, ill-posed, which means that the measurement noise is amplified by the inverse filtering process. Suppression of the noise causes bias in the reconstruction. A tradeoff has to be found between the noisy and biased estimates. In this paper, the reconstruction of images will be investigated, assuming that the distortion of the optical system is known. An algorithm is introduced to estimate the optimal level of noise suppression of the two-dimensional inverse filter

Keywords

Fourier transform optics; aberrations; deconvolution; filtering theory; image reconstruction; interference suppression; inverse problems; optical images; optimisation; biased estimates; deconvolution; distortion; image reconstruction; inverse filtering; measurement noise; noise suppression; optical images; two-dimensional inverse filter; Distortion measurement; Filtering; Image reconstruction; Lenses; Noise measurement; Optical distortion; Optical filters; Optical noise; Optical recording; Stimulated emission;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.948313

Filename

948313