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Technical Image Processing and Jump Regression Analysis (repost)
Posted on 2010-08-11
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More 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
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