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Proceedings Paper

Image correspondence correction
Author(s): Lynne L. Grewe; Jennifer Tan
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Paper Abstract

The Wavelet Domain is explored for use in Image Correspondence Correction. Image Correspondence Correction is the alteration of one image to correspond more closely to a matching image taken at a different time and under different photometric conditions. The ability to perform such an alteration would be highly useful for applications like Surveillance, Terrain Database Collection, Exploration and Map Building. We explore the use of both global and localized features in both the Wavelet and Spatial domains for this task. Global features may be able to correct for image differences arising due to global changes, like lighting conditions. However, global features may have difficulty when dealing with locally varying conditions. We show that local features on the other hand can be more sensitive to noise than global features and propose fixes to this problem.

Paper Details

Date Published: 31 July 2002
PDF: 11 pages
Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); doi: 10.1117/12.477598
Show Author Affiliations
Lynne L. Grewe, California State Univ./Hayward (United States)
Jennifer Tan, California State Univ./Hayward (United States)

Published in SPIE Proceedings Vol. 4729:
Signal Processing, Sensor Fusion, and Target Recognition XI
Ivan Kadar, Editor(s)

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