Share Email Print

Proceedings Paper

Image bandwidth compression using nonparametric Fourier phase reconstruction
Author(s): Mihajlo M. Stojancic; George Eichmann
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A new efficient computational technique for digital itiage bandwidth xxtLpression is presented. This technique is based upon an improved variation of the Gercbberg-Saxton--Papoulis (GSP) Fourier phase reconstruction algorithm. A digital image is converted into a ccitiplex 2D signal in the spatial dcxtiain by imposing a known randan phase angle. This step is then treated as a projection onth a closed convex set of 2D signals with the sait kncn phase angle. Using the theorns of projections, a functional j.iation is fornd which includes, together with the standard constraints of the knn phase angle in the Fourier dmain and the cotract image spatial support, a new orthogonal projection operator with its relaxation parameter. Thus formed, the new iterative algorithm produces exact image reconstruction in a snall number of iteration steps. The new algorithm is applied to a partially observed Fourier phase image to prcxluce the original image reconstruction of good quality. Fuftherixre, multiple oversampling of the Fourier phase in the frequency donain is substantially reduced. Several experimental results are presented.

Paper Details

Date Published: 1 November 1990
PDF: 9 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23513
Show Author Affiliations
Mihajlo M. Stojancic, City College/CUNY (United States)
George Eichmann, City College/CUNY (United States)

Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, 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?