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Proceedings Paper

Wavelet-based point feature extractor for multisensor image restoration
Author(s): Hui Henry Li; Yi-Tong Zhou
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Paper Abstract

Multi-sensor data such as visual/IR imagery are difficult to register due to the discrepancy in their grayscale characteristics. This paper presents a wavelet-based point feature extraction algorithm to select distinct and consistent point features across images in order to overcome this difficulty. It incorporates local statistical information of the image intensity to locate point features in multi-resolution contour maps generated using the wavelet transform. Experimental results using real multi-sensor data are presented.

Paper Details

Date Published: 22 March 1996
PDF: 11 pages
Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.236024
Show Author Affiliations
Hui Henry Li, HNC Software Inc. (United States)
Yi-Tong Zhou, HNC Software Inc. (United States)

Published in SPIE Proceedings Vol. 2762:
Wavelet Applications III
Harold H. Szu, Editor(s)

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