Forest representation of wavelet transform and feature detection

Zikuan Chen; Mohammad A. Karim

doi:10.1117/1.602477

1 May 2000 Forest representation of wavelet transform and feature detection

Zikuan Chen, Mohammad A. Karim

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Optical Engineering, Vol. 39, Issue 5, (May 2000). https://doi.org/10.1117/1.602477

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.

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Zikuan Chen and 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

Published: 1 May 2000

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