ABSTRACT
Halftone visibility metrics that give it a scalar cost have been employed for comparative studies between halftoning algorithms, and in some cases they have even been employed within the halftoning algorithm to decide where and where not to print a dot. Because the eye sees distortions at particular spatial frequencies more so than at others, developing a halftone visibility metric begins with a model of the human visual system (HVS). Relatively simple models of the HVS have proven to be quite successful when applied to algorithms that search for the best possible dot distribution. The selection of HVS models used in digital halftoning leads to different output performance, in terms of smoothness, homogeneity, coarseness, and in the appearance of artifacts. The contrary effect occurs if the distance or the resolution is decreased with the HVS bandwidth increasing and the halftone textures becoming more apparent.
