Natural scene statistics mediate the perception of image complexity

Abstract

Humans are sensitive to complexity and regularity in patterns (Falk & Konold, 1997; Yamada, Kawabe, & Miyazaki, 2013). The subjective perception of pattern complexity is correlated to algorithmic (or Kolmogorov-Chaitin) complexity as defined in computer science (Li & Vitányi, 2008), but also to the frequency of naturally occurring patterns (Hsu, Griffiths, & Schreiber, 2010). However, the possible mediational role of natural frequencies in the perception of algorithmic complexity remains unclear. Here we reanalyze Hsu et al. (2010) through a mediational analysis, and complement their results in a new experiment. We conclude that human perception of complexity seems partly shaped by natural scenes statistics, thereby establishing a link between the perception of complexity and the effect of natural scene statistics.

Keywords:

• Visual complexity
• Visual perception
• Algorithmic complexity
• Randomness

All authors are members of the Algorithmic Nature Group (http://algorithmicnature.org).

All authors are members of the Algorithmic Nature Group (http://algorithmicnature.org).

Notes

¹ http://commons.wikimedia.org/wiki/Special:Random/Image.