Image Processing and Jump Regression Analysis

Author(s): Peihua Qiu

Date: Format: pdf Language: English ISBN/ASIN: 0471420999
Pages: OCR: Quality: ISBN13:
Uploader: Upload Date: 12/3/2018 9:18:22 AM

The first text to bridge the gap between image processing andjump regression analysis

Recent statistical tools developed to estimate jump curves andsurfaces have broad applications, specifically in the area of imageprocessing. Often, significant differences in technicalterminologies make communication between the disciplines of imageprocessing and jump regression analysis difficult. Ineasy-to-understand language, Image Processing and JumpRegression Analysis builds a bridge between the worlds ofcomputer graphics and statistics by addressing both the connectionsand the differences between these two disciplines. The authorprovides a systematic analysis of the methodology behindnonparametric jump regression analysis by outlining procedures thatare easy to use, simple to compute, and have proven statisticaltheory 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 localsmoothing
Edge detection in image processing
Edge-preserving image restoration

With mathematical proofs kept to a minimum, this book isuniquely accessible to a broad readership. It may be used as aprimary text in nonparametric regression analysis and imageprocessing as well as a reference guide for academicians andindustry professionals focused on image processing or curve/surfaceestimation.