1. An image processing method comprising the steps of: wavelet-transforming an input image using a gradient form; classifying resultant wavelet vectors into categories of strongly edged objects, weakly edged objects, radial lines, and noises; leaving the wavelet vectors, which are classified into the category of strongly edged objects, intact; filtering the directions of the wavelet vectors classified into the category of weakly edged objects; smoothing the wavelet vectors classified into the categories of radial lines and noises; and inverse-wavelet-transforming the resultant wavelet vectors so as to produce an output image.