Separable-denominator two-dimensional adaptive filters with application to noise reduction in images

摘要

In this paper, separable-denominator two-dimensional (SD-2D) adaptive filters are realized in the lattice-form and in the direct-form. The stability test for these SD-2D adaptive filters can be simplified to that for one-dimensional (1D) recursive filters. It is shown by the experiments of the noise reduction in images that the SD-2D adaptive filters are superior to the nonadaptive SD-2D filters.