Multiscale image disparity estimation using the quaternion wavelet transform

Wai Lam Chan, Hyeokho Choi, Richard G. Baraniuk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

We propose an efficient multiscale image disparity estimation algorithm that estimates the local translations needed to align different regions in two images. The algorithm is based on the dual-tree quaternion wavelet transform (QWT). Each QWT coefficient features a magnitude and three phase angles; we exploit the fact that two of the phase angles are covariant with image shifts in the horizontal and vertical directions. By fusing phase information across multiple scales, we combat the phase unwrapping problem that has traditionally plagued phase-based disparity estimation techniques. The result is a linear-time algorithm that provides reliable estimates of both small and large image shifts. The algorithm is completely image-based; that is, it involves no extraction of feature points or other landmarks. It can be used as a front-end for image processing and computer vision tasks such as image registration, motion estimation, and stereo matching. We present results with a real-world image sequence.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages1229-1232
Number of pages4
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: Oct 8 2006Oct 11 2006

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2006 IEEE International Conference on Image Processing, ICIP 2006
CountryUnited States
CityAtlanta, GA
Period10/8/0610/11/06

Keywords

  • Complex
  • Disparity estimation
  • Phase
  • Quaternion
  • Wavelet transform

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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