By Topic

Multigrid algorithm for image reconstruction from Fourier modulus

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Z. Wu ; Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA ; A. H. Tewfik

Two new iterative multigrid algorithms for image reconstruction from Fourier magnitude data are proposed. The first algorithm is based on the error reduction algorithm and the second is based on a quasi-Newton's method. Both algorithms take advantage of a multigrid scheme to speed up the convergence rate of the iterations. Furthermore, they recover more high frequency components of the image than their non-multigrid counterpart. Experimental study has shown the great potential of both algorithms

Published in:

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Date of Conference:

14-17 Apr 1991