Insight into color aesthetics from probabilistic perception modeling

Michael S. Bittermann*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


A model of human visual perception is described. An observer is represented having no a-priori preference for color or geometric properties of the objects in his visual field. The model includes computational representations of effectiveness and efficiency of visual memory allocation that are both based on likelihood. In the computations, the colorimetric quantities color difference, chroma, and lightness are of fundamental importance, being the state variables of model. Computer experiments are carried out verifying the validity of the model. Multiple corroborations between model outcome and commonly observed phenomena are pinpointed, indicating that aesthetical experience denotes an optimal state of visual system as to processing efficiency.

Original languageEnglish
Pages (from-to)527-543
Number of pages17
JournalColor Research and Application
Issue number4
Publication statusPublished - Aug 2018

Bibliographical note

Publisher Copyright:
© 2018 Wiley Periodicals, Inc.


  • aesthetics
  • architectural design
  • color theory
  • Pareto nondominance
  • perception


Dive into the research topics of 'Insight into color aesthetics from probabilistic perception modeling'. Together they form a unique fingerprint.

Cite this