1 May 2000 Forest representation of wavelet transform and feature detection
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Abstract
A forest representation of 2-D wavelet transform is proposed to emphasize a local signal and coefficient propagation across multiscales. A multiresolution analysis involves a forest consisting of an approximate forest and three detail (horizontal, vertical, and diagonal) forests. An approximate tree is a collection of successive approximations at multiscales at a location, and a detail tree is a collection of detail coefficients along an orientation. In fine-to-coarse processing, local neighboring trees merge into a bulky tree recursively and thereby incur large uncertainty in signal location. The coefficient propagation across multiscales can be used for local signal detection.
Zikuan Chen, Zikuan Chen, Mohammad A. Karim, Mohammad A. Karim, } "Forest representation of wavelet transform and feature detection," Optical Engineering 39(5), (1 May 2000). https://doi.org/10.1117/1.602477 . Submission:
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