A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Image Sequence Fusion Using a Shift-Invariant Wavelet Transform
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Automatic Registration of Multi-Sensor Airborne Imagery
AIPR '05 Proceedings of the 34th Applied Imagery and Pattern Recognition Workshop
Use of multiresolution wavelet feature pyramids for automatic registration of multisensor imagery
IEEE Transactions on Image Processing
MIRF: A Multimodal Image Registration and Fusion Module Based on DT-CWT
Journal of Signal Processing Systems
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Image registration is considered one of the most fundamental and crucial pre-processing tasks in digital imaging. This paper describes a fast multimodal automatic image registration algorithm that handles the alignment of IR and visible images. A multiresolution approach based on Dual Tree-complex wavelet transform is employed to speed up the process. At the coarsest level, an accurate registration estimate for higher levels is achieved, using edge detection and cross correlation. Mutual Information, on the other hand, is applied at higher levels as a matching criterion applied to the six orientation bands of the complex wavelet. The process is completely automatic, and was tested on several sets of synthetic and real data. Experimental results show that the proposed technique exhibits better accuracy than DWT-based algorithms for uni and multi-modal cases.