An Improved Design of Stochastic Halftoning without Error Diffusion for Raster Image Processor

The performance of modern printing machine depends heavily upon the raster image processor (RIP) whereof it is equipped with. The conventional digital halftoning technology used in RIP is characterized as error diffusion, which is suitable for imaging machines with low resolutions, often resulting in correlated artifacts and transient edges. We report an innovative stochastic halftoning method without error diffusion for RIP by using an optimized random number generator (RNG). The RIP system we proposed has simple computation and stochastic features of ink spots. This research is supportive of enhancing raster image quality oriented to printing machines with high physical resolutions.