A noise evaluation of digital halftone images based upon a human visual model

摘要

The evaluation of factors contributing to dot moise is essential to continued advances in ink-jet printers. Here a noise evaluation method based upon a human visual model is used to study the effects on dot noise levels of number of quantization levels, resolution, and paper substrate type. Findings suggest that increasing the number of quantization levels may reduce dot nosie more than increasing resolution, while varying paper substrate type has little effect.