Share Email Print

Proceedings Paper

Image identification and restoration based on equal power spectrum
Author(s): Xin Shi; Shu-Hai Chen; Cheng-Jun Yang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The most challenging question in image restoration nowadays is how to obtain blur information from the degraded image. Specifically, the identification of PSF has been a subject of great interest. However, many early identification methods are, in general, more expensive computationally, and have some limitations, more or less. In this paper, a new identification and restoration method based on the power spectrum filter was proposed by means of equivalent power spectrum assumption. Specifically, a recognition method, for the power spectrum of the original image in the filter transfer function expression, was suggested through exploring spectra of the degraded image. The major merits of this method are it is simpler, more practicable, and more economical computationally than the others, such as identifying PSF parameters.

Paper Details

Date Published: 21 September 1994
PDF: 9 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186588
Show Author Affiliations
Xin Shi, Dalian Institute of Science & Technology (China)
Shu-Hai Chen, Northwest Institute of Nuclear Technology (China)
Cheng-Jun Yang, Northwest Institute of Nuclear Technology (China)

Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top