Non-Fiction Books:

Image Processing and Jump Regression Analysis

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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.

Author Biography:

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.
Release date Australia
February 18th, 2005
Author
Audience
  • Professional & Vocational
Illustrations
Photos: 12 B&W, 0 Color; Graphs: 61 B&W, 0 Color
Pages
344
Dimensions
162x240x22
ISBN-13
9780471420996
Product ID
2100778

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