Stability of the color-opponent signals under changes of illuminant in natural scenes

J Opt Soc Am A Opt Image Sci Vis. 2005 Oct;22(10):2060-71. doi: 10.1364/josaa.22.002060.


Illumination varies greatly both across parts of a natural scene and as a function of time, whereas the spectral reflectance function of surfaces remains more stable and is of much greater relevance when searching for specific targets. This study investigates the functional properties of postreceptoral opponent-channel responses, in particular regarding their stability against spatial and temporal variation in illumination. We studied images of natural scenes obtained in UK and Uganda with digital cameras calibrated to produce estimated L-, M-, and S-cone responses of trichromatic primates (human) and birds (starling). For both primates and birds we calculated luminance and red-green opponent (RG) responses. We also calculated a primate blue-yellow-opponent (BY) response. The BY response varies with changes in illumination, both across time and across the image, rendering this factor less invariant. The RG response is much more stable than the BY response across such changes in illumination for primates, less so for birds. These differences between species are due to the greater separation of bird L and M cones in wavelength and the narrower bandwidth of the cone action spectra. This greater separation also produces a larger chromatic signal for a given change in spectral reflectance. Thus bird vision seems to suffer a greater degree of spatiotemporal "clutter" than primate vision, but also enhances differences between targets and background. Therefore, there may be a trade-off between the degree of chromatic clutter in a visual system versus the degree of chromatic difference between a target and its background. Primate and bird visual systems have found different solutions to this trade-off.

MeSH terms

  • Algorithms
  • Animals
  • Biomimetics / methods
  • Birds
  • Color Perception / physiology*
  • Colorimetry / methods*
  • Humans
  • Image Interpretation, Computer-Assisted / methods*
  • Information Storage and Retrieval / methods*
  • Lighting*
  • Models, Biological*
  • Models, Statistical*
  • Primates
  • Retinal Cone Photoreceptor Cells / physiology
  • Signal Processing, Computer-Assisted
  • Species Specificity
  • Statistics as Topic