Image Processing and Jump Regression Analysis (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2005
- First Edition
- Hardcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 140.49
Quantity: 1 available
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Hardcover. 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 proceduresEstimation of jump regression curvesEstimation of jump location curves of regression surfacesJump-preserving surface reconstruction based on local smoothingEdge detection in image processingEdge-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. Addresses 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9780471420996
- Title
- Image Processing and Jump Regression Analysis (Hardcover)
- Author
- Peihua Qiu
- Publisher
- John Wiley & Sons Inc, New York
- Publication year
- 2005
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471420999
- ISBN 13
- 9780471420996
- Edition
- 1st Edition
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.
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About the Author
"About the title" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
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| Item | 7 to 14 business days | 7 to 60 business days |
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