Two-Dimensional Wavelets and their Relatives
This book introduces 2-D wavelets via 1-D continuous wavelet transforms. The authors then describe the underlying mathematics before progressing to more advanced topics such as matrix geometry of wavelet analysis and three-dimensional wavelets. Practical applications and illustrative examples are employed extensively throughout, ensuring the book's value to engineers, physicists and mathematicians. Two-dimensional wavelets offer a number of advantages over discrete wavelet transforms, in particular, for analysis of real-time signals in such areas as medical imaging, fluid dynamics, shape recognition, image enhancement and target tracking.
- The first of its kind in print dealing with the two - and higher - dimensional continuous wavelet transforms, with extensive examples of applications
- Gradual introduction of the underlying mathematical tools, with very few prerequisites, yet leading the reader to the research frontier
- Covers both the continuous and the discrete wavelet transforms
Reviews & endorsements
"This authoritative, beautiful book earns a place on any wavelets short list. Highly recommended." CHOICE
"[The book] takes the reader on a journey starting from a heuristic approach to wavelets to the state of the art. The presentation is rigorous, yet easy to follow. I highly recommend this book to both beginners and experts." Mathematical Reviews, Ahmed I. Zayed
Product details
June 2008Paperback
9780521065191
480 pages
246 × 187 × 29 mm
0.87kg
134 b/w illus. 3 tables
Available
Table of Contents
- Prologue
- 1. Warm-up: the 1-D continuous wavelet transform
- 2. The 2-D continuous wavelet transform
- 3. Some 2-D wavelets and their performances
- 4. Applications of the 2-D CWT I. Image processing
- 5. Applications of the 2-D CWT II. Physical applications
- 6. Matrix geometry of wavelet analysis I
- 7. Matrix geometry of wavelet analysis II
- 8. Minimal uncertainty and Wigner transformations
- 9. Higher-dimensional wavelets
- 10. Spatio-temporal wavelets and motion estimation
- 11. Beyond wavelets
- Epilogue
- Appendix 1
- Bibliography
- Index.