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Application of projection pursuit learning to boundary detection and deblurring in images

✍ Scribed by Lesa M. Kennedy; Mitra Basu

Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 853 KB
Volume: 33
Category: Article
ISSN: 0031-3203
DOI: 10.1016/s0031-3203(99)00188-0

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✦ Synopsis

Projection pursuit learning networks (PPLNs) have been used in many "elds of research but have not been widely used in image processing. In this paper we demonstrate how this highly promising technique may be used to connect edges and produce continuous boundaries. We also propose the application of PPLN to deblurring a degraded image when little or no a priori information about the blur is available. The PPLN was successful at developing an inverse blur "lter to enhance blurry images. Theory and background information on projection pursuit regression (PPR) and PPLN are also presented.

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