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Image Processing and Jump Regression Analysis Hardback - 2005 - 1st Edition
by Qiu, Peihua,
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Details
- Title Image Processing and Jump Regression Analysis
- Author Qiu, Peihua,
- Binding Hardback
- Edition number 1st
- Edition 1
- Condition New
- Pages 344
- Volumes 1
- Language ENG
- Publisher Wiley-Interscience, Hoboken, New Jersey, U.S.A.
- Publication date 2005-01-01
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # 1545983
- ISBN 9780471420996 / 0471420999
- Weight 1.33 lbs (0.60 kg)
- Dimensions 9.5 x 6.24 x 0.81 in (24.13 x 15.85 x 2.06 cm)
- Category Mathematics
- Library of Congress subjects Image processing, Regression analysis
- Library of Congress Catalogue Number 2004053000
- Dewey Decimal Code 006.37
- Quantity available 5
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From the rear cover
The first text to bridge the gap between image processing and jump regression analysis
Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, 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 analysis 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
- Estimation of jump location curves of regression surfaces
- Jump-preserving surface reconstruction based on local smoothing
- Edge detection in image processing
- Edge-preserving image restoration
With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation.
