A special deconvolution problem, where a parameter describes the degree of
additive blurring, is considered. No a priori knowledge on the unblurred da
ta is assumed. A standard solution based on the output least-squares formul
ation includes a regularization parameter into a linear, shift-invariant fi
lter An alternative approach that takes advantage of the analyticity of the
smoothing process with respect to the blurring parameter is introduced. He
re a simple local extrapolation scheme is employed. The problem is encounte
red in applications involving potential theories dealing with magnetostatic
s, electrostatics and gravity data. Inverse diffraction of scalar waves is
also discussed. Examples are presented and the two methods compared numeric
ally.