Share Email Print

Proceedings Paper

Adaptive image matching in the subband domain
Author(s): Hualu Wang; Shih-Fu Chang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper we discuss image matching by correlation in the subband domain with prospective applications. Theoretical proof is given to show that the correlation of two signals equals the weighted sum of the correlations of their decomposed subband signals. We propose an adaptive method to compute image correlation directly in the subband domain, which avoids decoding of the compressed data. Compared with pixel-domain correlation, this method reduces computation by more than ten times with satisfactory accuracy. We also compare the effects of template size, number of iterations of subband decomposition, and filter type on the speed and accuracy. Complexity estimations and test results are given. In addition, several techniques that involve image correlation are investigated for application in image matching.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233305
Show Author Affiliations
Hualu Wang, Columbia Univ. (United States)
Shih-Fu Chang, Columbia Univ. (United States)

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