Digital halftoning algorithms can produce results of very different quality and characteristics. To evaluate and improve the algorithms, it is important to have robust image quality measures. We propose a method to evaluate objectively the quality of halftoned images. The method is capable of evaluating any kind of monochrome original and is not limited by the choice of halftoning method. To perform the evaluation with respect to the perception of printed halftones, we use models for dot gain in prints and the human visual system. The main contribution and novelty of the method is an adaptive filter used to separate the halftone characteristics from the information about the original in the halftoned image. This approach facilitates the evaluation of the halftoned image’s resemblance to the original as well as of the characteristics of the halftoning method.
© 1999 Optical Society of America
(100.2810) Image processing : Halftone image reproduction
(100.2960) Image processing : Image analysis
(100.3010) Image processing : Image reconstruction techniques
(110.3000) Imaging systems : Image quality assessment
Fredrik Nilsson, "Objective quality measures for halftoned images," J. Opt. Soc. Am. A 16, 2151-2162 (1999)