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A generalized divergence measure for robust image registration
Abstract
Entropy-based divergence measures have shown promising results in many areas of engineering and image processing. We define a new generalized divergence measure, namely, the Jensen-Renyi (1996, 1976) divergence. Some properties such as convexity and its upper bound are derived. Based on the Jensen-Renyi divergence, we propose a new approach to the problem of image registration. Some appealing advantages of registration by Jensen-Renyi divergence are illustrated, and its connections to mutual information-based registration techniques are analyzed. As the key focus of this paper, we apply Jensen-Renyi divergence for inverse synthetic aperture radar (ISAR) image registration. The goal is to estimate the target motion during the imaging time. Our approach applies Jensen-Renyi divergence to measure the statistical dependence between consecutive ISAR image frames, which would be maximal if the images are geometrically aligned. Simulation results demonstrate that the proposed method is efficient and effective.
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Cites
Multimodality image registration by maximization of mutual information
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547
Cited by
Deformable medical image registration: a survey
Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587
“Its use for image registration was proposed in [268, 269].”
BackgroundA review of multimodal image matching: Methods and applications
Jiang, X., Ma, J., Xiao, G., Shao, Z., & Guo, X. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.02.012 · Cited by 532
On Advances in Statistical Modeling of Natural Images
Srivastava, A., Lee, A. B., Simoncelli, E. P., & Zhu, S.-C. (2003) · Journal of Mathematical Imaging and Vision · doi:10.1023/a:1021889010444 · Cited by 485
Uniform Robust Scale-Invariant Feature Matching for Optical Remote Sensing Images
Sedaghat, A., Mokhtarzade, M., & Ebadi, H. (2011) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2011.2144607 · Cited by 334
Metadata
- Authors
- He, Y., Ben Hamza, A., & Krim, H.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2003-05
- Volume
- 51
- Issue
- 5
- Pages
- 1211-1220
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2158042553
- Cited by
- 165
- References
- 1
- FWCI
- 26.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- He, Y., Ben Hamza, A., & Krim, H. (2003). A generalized divergence measure for robust image registration. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2003.810305
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