Paper
27 February 1996 Adaptive image matching in the subband domain
Hualu Wang, Shih-Fu Chang
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233305
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hualu Wang and Shih-Fu Chang "Adaptive image matching in the subband domain", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233305
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Cited by 8 scholarly publications.
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KEYWORDS
Image filtering

Electronic filtering

Visualization

Optical filters

Databases

Image compression

Convolution

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