brain responses strongly correlate with weibull image statistics when processing natural images the visual appearance of natural scenes is governed by a surprisingly simple hidden structure the distributions of contrast values in natural images generally follow a weibull distribution with beta and gamma as free parameters beta and gamma seem to structure the space of natural images in an ecologically meaningful way in particular with respect to the fragmentation and texture similarity within an image since it is often assumed that the brain exploits structural regularities in natural image statistics to efficiently encode and analyze visual input we here ask ourselves whether the brain approximates the beta and gamma values underlying the contrast distributions of natural images we present a model that shows that beta and gamma can be easily estimated from the outputs of xcells and ycells in addition we covaried the eeg responses of subjects viewing natural images with the beta and gamma values of those images we show that beta and gamma explain up to 71 of the variance of the early erp signal substantially outperforming other tested contrast measurements this suggests that the brain is strongly tuned to the images beta and gamma values potentially providing the visual system with an efficient way to rapidly classify incoming images on the basis of omnipresent lowlevel natural image statistics