Iterative image reconstruction: a wavelet approach

Author

Rabadi, Wissam A. ; Myler, Harley R.

Author_Institution

New Bus. Dev. Group, Texas Instrum. Inc., Houston, TX, USA

Volume

5

Issue

1

fYear

1998

Firstpage

1

Lastpage

3

Abstract

Image reconstruction from the measurements of the image Fourier transform magnitude remains an important and difficult problem. Among all the approaches developed to solve this problem, the iterative transform algorithms are currently the most efficient. However, these algorithms suffer from major drawbacks that limit their practical application. We introduce a wavelet adaptation of the general iterative algorithm that can significantly improve the performance of the algorithm while dramatically reducing its computational complexity.

Keywords

Fourier transforms; computational complexity; image reconstruction; image resolution; iterative methods; wavelet transforms; algorithm performance; computational complexity reduction; image Fourier transform magnitude measurements; image resolution; iterative image reconstruction; iterative transform algorithms; wavelet adaptation; wavelet approach; Computational complexity; Convergence; Fourier transforms; Image reconstruction; Image retrieval; Iterative algorithms; Iterative methods; Optical signal processing; Signal processing algorithms; Yield estimation;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.654864

Filename

654864