Title

Iterative image reconstruction: A wavelet approach

Authors

Authors

W. A. Rabadi;H. R. Myler

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

IEEE Signal Process. Lett.

Keywords

image reconstruction; multiresolution analysis; phase retrieval; signal; recovery; PHASE RETRIEVAL; Engineering, Electrical & Electronic

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, In this letter, 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.

Journal Title

Ieee Signal Processing Letters

Volume

5

Issue/Number

1

Publication Date

1-1-1998

Document Type

Article

DOI Link

http://dx.doi.org/10.1109/97.654864

Language

English

First Page

1

Last Page

3

WOS Identifier

WOS:000071491400001

ISSN

1070-9908

Recommended Citation

"Iterative image reconstruction: A wavelet approach" (1998). Faculty Bibliography 1990s. 2409.
https://stars.library.ucf.edu/facultybib1990/2409