Complexity of images: experimental and computational estimates compared.

  title={Complexity of images: experimental and computational estimates compared.},
  author={Valeriy Chikhman and Valeriya Bondarko and Marina V. Danilova and Anna Goluzina and Yuri Shelepin},
  volume={41 6},
We tested whether visual complexity can be modeled through the use of parameters relevant to known mechanisms of visual processing. In psychophysical experiments observers ranked the complexity of two groups of stimuli: 15 unfamiliar Chinese hieroglyphs and 24 outline images of well-known common objects. To predict image complexity, we considered: (i) spatial characteristics of the images, (ii) spatial-frequency characteristics, (iii) a combination of spatial and Fourier properties, and (iv… CONTINUE READING