In this paper, we propose a halftoning method with Neugebauer Primary Area Coverage (NPAC) direct binary search (DBS), with the optimized human visual system (HVS) model, we are able obtain homogeneous and smooth hafltone colored image. The halftoning is based on separating the colored image represented in Neugebauer Primary in three channels based on human visual system, with swap-only DBS, we arrange the dots to bring the error metric to its minimum and the optimized halftone image is obtained. The separation of chrominance HVS filters between red-green and blue-yellow channels allows us to represent HVS more accurately. Color halftone images generated using this method and method of using combined chrominance filter is compared.