@article{MuthHeiligMarquardtetal.2022,
  author    = {Muth, Felicitas V. and Heilig, Michael and Marquardt, Dorothea and Mittelberg, Linda and Sebald, Albrecht and Kunde, Wilfried},
  title     = {Lightness perception of structured surfaces},
  series = {Color Research and Application},
  volume    = {47},
  journal   = {Color Research and Application},
  number    = {2},
  doi       = {10.1002/col.22740},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-257314},
  pages     = {377-387},
  year      = {2022},
  abstract  = {Visual perception of surfaces is of utmost importance in everyday life. Therefore, it comes naturally, that different surface structures evoke different visual impressions in the viewer even if the material underlying these surface structures is the same. This topic is especially virulent for manufacturing processes in which more than one stakeholder is involved, but where the final product needs to meet certain criteria. A common practice to address such slight but perceivable differences in the visual appearance of structured surfaces is that trained evaluators assess the samples and assign a pass or fail. However, this process is both time consuming and cost intensive. Thus, we conducted two studies to analyze the relationship between physical surface structure parameters and participants visual assessment of the samples. With the first experiment, we aimed at uncovering a relationship between physical roughness parameters and visual lightness perception while the second experiment was designed to test participants' discrimination sensitivity across the range of stimuli. Perceived lightness and the measured surface roughness were nonlinearly related to the surface structure. Additionally, we found a linear relationship between the engraving parameter and physical brightness. Surface structure was an ideal predictor for perceived lightness and participants discriminated equally well across the entire range of surface structures.},
  language  = {en}
}