Predicting Visual Complexity

  • Purchase H
  • Freeman E
  • Hamer J
Citations of this article
Mendeley users who have this article in their library.


Inspired by the contrast between ‘classical’ and ‘expressive’ visual aesthetic design, this paper explores the ‘visual complexity’ of images. We wished to investigate whether the visual complexity of an image could be quantified so that it matched participants’ view of complexity. An empirical study was conducted to collect data on the human view of the complexity of a set of images. The results were then related to a set of computational metrics applied to these images, so as to identify which objective metrics best encapsulate the human subjective opinion. We conclude that the subjective notion of ‘complexity’ is consistent both to an individual and to a group, but that it does not easily relate to the most obvious computational metrics.




Purchase, H. C., Freeman, E., & Hamer, J. (2012). Predicting Visual Complexity. In Predicting Perceptions: Proceedings of the 3rd International Conference on Appearance (pp. 62–65). Edinburgh, UK.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free