Neural structures in digital halftoning

Neural nets present various possibilities for local and global processing in digital halftoning. For global processing the Hopfield-type network was examined for its usage. The constraints concerning this model are presented and their effects for the binarization problem are shown. The numerical description leads to a basic parallelism to the well known iterative Fourier transform algorithm (IFTA), applied in digital halftoning.