A filtered b-spline models of scanned digital images

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