A filtered b-spline model of scanned digital images

Abstract

We present an approach for modeling and ltering digitally scanned images. The digital contour of an image is segmented to identify the linear segments, the nonlinear segments and critical corners. The nonlinear segments are modeled by B-splines. To remove the contour noise, we propose a weighted least squares model to account for both the tness of the splines as well as their approximate curvatures. The solutions of the least squares models provide the control vertices of the splines. We show the e ectiveness of our approach with several representations constructed from various scanned images.