Abstract
We develop a quaternion wavelet transform (QWT) as a new multiscale analysis tool for geometric image features. The QWT is a near shift-invariant, tight frame representation whose coefficients sport a magnitude and three phase values, two of which are directly proportional to local image shifts. The QWT can be efficiently computed using a dual-tree filter bank and is based on a 2-D Hilbert transform. We demonstrate how the QWT's magnitude and phase can be used to accurately analyze local geometric structure in images. We also develop a multiscale flow/motion estimation algorithm that computes a disparity flow map between two images with respect to local object motion.
Original language | English (US) |
---|---|
Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
Editors | M. Papadakis, A.F. Laine, M.A. Unser |
Pages | 1-10 |
Number of pages | 10 |
Volume | 5914 |
DOIs | |
State | Published - 2005 |
Event | Wavelets XI - San Diego, CA, United States Duration: Jul 31 2005 → Aug 3 2005 |
Other
Other | Wavelets XI |
---|---|
Country/Territory | United States |
City | San Diego, CA |
Period | 7/31/05 → 8/3/05 |
Keywords
- Disparity estimation
- Dual-tree
- Edges
- Image registration
- Quaternions
- Wavelets
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics