By Topic

Conjugate gradient acceleration of maximum-likelihood image restoration

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 $33
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)
D. S. C. Biggs ; Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand ; M. Andrews

A maximum-likelihood iterative deconvolution algorithm is accelerated using a conjugate gradient technique with a minimum mean square error criterion. Significant acceleration over previous techniques is achieved with little additional computation. Restorations with and without noise are presented which indicate the number of iterations required reduces from O(N) to O(√N)

Published in:

Electronics Letters  (Volume:31 ,  Issue: 23 )