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

Projection pursuit learning networks (PPLNs) have been used in many fields of research but have not been widely used in image processing. In this pape r we demonstrate how this highly promising technique may be used to connect edges and produce continuous boundaries. We also propose the application o f PPLN to deblurring a degraded image when little or no a priori informatio n about the blur is available. The PPLN was successful at developing an inv erse blur filter to enhance blurry images. Theory and background informatio n on projection pursuit regression (PPR) and PPLN are also presented. (C) 2 000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rig hts reserved.