
Image Processing and Jump Regression Analysis
P. Qiu(Author)
Wiley (Publisher)
Published on 1. June 2005
Software
Other digital
344 pages
978-0-471-73315-7 (ISBN)
Description
"Image Processing and Jump Regression Analysis" builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic breakdown of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include conventional smoothing procedures, estimation of jump regression curves, edge detection in image processing, and edge-preserving image restoration, to name a few. With mathematical proofs kept to a minimum, this book is uniquely accessible as a primary text in nonparametric jump regression analysis and image processing as well as a reference on image processing or curve/surface estimation.
Reviews / Votes
"...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)More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Weight
10 gr
ISBN-13
978-0-471-73315-7 (9780471733157)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
05/2005
Wiley
€147.99
Available for download
Person
PEIHUA QIU, PHD, is Associate Professor of Statistics at the University of Minnesota. He has published over twenty--five papers in refereed journals as well as two book chapters. He received his PhD in Statistics at the University of Wisconsin--Madison in 1996.
Content
Preface. 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.