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On the Spatial Registration Considering Image Exposure Compensation  

Kim, Dong-Sik (Department of Electronic and Information Engineering, Hankuk University of Foreign Studies)
Lee, Ki-Ryung (ECE, UIUC)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.2, 2007 , pp. 93-101 More about this Journal
Abstract
To jointly optimize the spatial registration and the exposure compensation, an iterative registration algorithm, the Lucas-Kanade algorithm, is combined with an exposure compensation algorithm, which is based on the histogram transformation function. Based on a simple regression model, a nonparametric estimator, the empirical conditional mean, and its polynomial fitting are used as histogram transformation functions for the exposure compensation. Since the proposed algorithm is composed of separable optimization phases, the proposed algorithm is more advantageous than the joint approaches of Mann and Candocia in the aspect of implementation flexibility. The proposed algorithm performs a better registration for real images than the case of registration that does not consider the exposure difference.
Keywords
Empirical conditional mean; exposure compensation; histogram transformation; Lucas- Kanade algorithm; simple regression model;
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