Description
Book SynopsisAddresses connections and differences between jump regression analysis and image processing, with the goal of establishing better communication among research groups in the two areas of statistics. This book discusses procedures that are easy to use, simple to compute, and have proven statistical theory behind them.
Trade Review"It has much to offer that is hard to find elsewhere." (
Journal of the American Statistical Association, December 2006)
"…a well-written book offering comprehensive discussions...an excellent reference and source book for statisticians, computer scientists, engineers, and other researchers…" (IIE Transactions- Quality and Reliability Engineering, June 2006)
"…an impressive resource for research statisticians…researchers in computer graphics and image processing…" (Technometrics, May 2006)
Table of ContentsPreface.
1. Introduction.
2. Basic Statistical Concepts and Conventional Smoothing Techniques.
3. Estimation of Jump Regression Curves.
4. Estimation of Jump Location Curves of Regression Surfaces.
5. Jump Preserving Surface Estimation By Local Smoothing.
6. Edge Detection In Image Processing.
7. Edge-Preserving Image Restoration.
References.
Index.
