Image Processing and Jump Regression Analysis

Peihua Qiu - Collection Wiley Series in Probability and Statistics

310 pages, parution le 15/03/2005

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Résumé

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.

L'auteur - Peihua Qiu

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.

Sommaire

Introduction
Basic Statistical Concepts and Conventional Smoothing Techniques
Estimation of Jump Regression Curves
Estimation of Jump Location Curves of Regression Surfaces
Jump Preserving Surface Estimation By Local Smoothing
Edge Detection In Image Processing
Edge-Preserving Image Restoration

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Peihua Qiu
Collection	Wiley Series in Probability and Statistics
Parution	15/03/2005
Nb. de pages	310
Format	16 x 24
Couverture	Relié
Poids	605g
Intérieur	Noir et Blanc
EAN13	9780471420996
ISBN13	978-0-471-42099-6