September 2005
Volume 5, Issue 8
Free
Vision Sciences Society Annual Meeting Abstract  |   September 2005
Spatiochromatic statistics of natural scenes: First- and second-order information and their correlational structure
Author Affiliations
  • Aaron P. Johnson
    McGill Vision Research Unit, Dept. Ophthalmology, Montreal, Canada.
  • Fredrick A. A. Kingdom
    McGill Vision Research Unit, Dept. Ophthalmology, Montreal, Canada.
  • Adriana Olmos
    McGill Vision Research Unit, Dept. Ophthalmology, Montreal, Canada.
  • Curtis L. Baker, Jr.
    McGill Vision Research Unit, Dept. Ophthalmology, Montreal, Canada.
Journal of Vision September 2005, Vol.5, 783. doi:10.1167/5.8.783
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      Aaron P. Johnson, Fredrick A. A. Kingdom, Adriana Olmos, Curtis L. Baker; Spatiochromatic statistics of natural scenes: First- and second-order information and their correlational structure. Journal of Vision 2005;5(8):783. doi: 10.1167/5.8.783.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Few studies have investigated the structural relationships between modeled neural images of the luminance, red-green and blue-yellow post-receptoral channels in response to natural scenes. Here we examine these relationships for both first-order, i.e. luminance and color, and second-order, i.e. texture and contrast, variations in a set of natural color images.

Images collected using a calibrated digital camera were transformed into LMS cone responses for each pixel, which were then converted into luminance, red-green, and blue-yellow channel images. Simulated responses of cortical first- and second-order operators were produced by convolution with linear filters (Gabor functions) or filter-rectify-filter operators, respectively, for a wide range of filter orientations and spatial frequencies. Filter response amplitudes and image statistics (kurtosis and entropy) were examined, as well as ‘signed’ and ‘unsigned’ cross-correlations between the three first-order channel images and between the first- and second-order channel images.

The results demonstrate that first-order red-green has a higher kurtosis/entropy than blue-yellow, which in turn has higher values than luminance. Correlations between first-order luminance and first-order color information are surprisingly high. Additionally, first-order luminance and color are strongly correlated with second-order luminance, but not second-order color. These results suggest that higher-order chromatic statistics play a distinct role in natural images.

Johnson, A. P. Kingdom, F. A. A. Olmos, A. Baker, C. L.Jr. (2005). Spatiochromatic statistics of natural scenes: First- and second-order information and their correlational structure [Abstract]. Journal of Vision, 5(8):783, 783a, http://journalofvision.org/5/8/783/, doi:10.1167/5.8.783. [CrossRef] [PubMed]
Footnotes
 Funded by NSERC grant to CLB (OPG0001978) and a CIHR grant to FAAK (MOP-11554).
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