Share Email Print

Proceedings Paper

Study on improving iterative image restoration
Author(s): Joon Il Moon; Joon-Ki Paik
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In the present paper we propose two new improved iterative restoration algorithms. One is to accelerate convergence of the steepest descent method using the improved search directions. The other is also a fast iterative algorithm based on preconditioning. The preconditioner in the proposed algorithm can be implemented by using FIR filter structure, so it can be applied to practical application with a manageable amount of computation. Experimental results show good performance improvement in accelerating the convergence. Although the proposed methods have a disadvantage that cannot be included in adaptive restoration, they can be used as pre-processing for adaptive algorithms.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233220
Show Author Affiliations
Joon Il Moon, Chung-Ang Univ. (South Korea)
Joon-Ki Paik, Chung-Ang Univ. (South Korea)

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?