Coherent Image Processing using Quaternion Wavelets
| Title | Coherent Image Processing using Quaternion Wavelets |
| Publication Type | Conference Paper |
| Authors | W. L. Chan, H. Choi, and R. G. Baraniuk |
| 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. |
| Acknowledgements | This work was supported by NSF grant CCF-0431150, ONR grant N00014-02-1-0353, AFOSR grant FA9550-04-1-0148, AFRL grant FA8650-05-1850, and the Texas Instruments Leadership University Program. |
| Keywords | disparity; edges; image registration; quaternions; wavelets |
| Year of Publication | 2005 |
| Month | Aug. |
| Conference Name | Wavelets XI in SPIE International Symposium on Optical Science and Technology |
| Conference Location | San Diego |