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Optical Engineering

Forest representation of wavelet transform and feature detection
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Paper 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.

Paper Details

Date Published: 1 May 2000
PDF: 9 pages
Opt. Eng. 39(5) doi: 10.1117/1.602477
Published in: Optical Engineering Volume 39, Issue 5
Show Author Affiliations
Zikuan Chen, Univ. of Tennessee (United States)
Mohammad A. Karim, Univ. of Tennessee/Knoxville (United States)

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