Figures
Local regions of natural images.
Local regions of natural images contain rich information about form and texture. Psychophysical experiments show that human observers are remarkably sensitive to these natural image regularities. Indeed, the visual system seems to know much more about the regularities in natural images than any current probabilistic model, even at very fine scales. These fail to capture contrast fluctuations and local contour information—features to which human observers are highly sensitive. See Gerhard et al.
Image Credit: Holly E. Gerhard, Werner Reichardt Centre for Integrative Neuroscience
Citation: (2013) PLoS Computational Biology Issue Image | Vol. 9(1) January 2013. PLoS Comput Biol 9(1): ev09.i01. https://doi.org/10.1371/image.pcbi.v09.i01
Published: January 31, 2013
Copyright: © 2013 Gerhard et al. . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Local regions of natural images contain rich information about form and texture. Psychophysical experiments show that human observers are remarkably sensitive to these natural image regularities. Indeed, the visual system seems to know much more about the regularities in natural images than any current probabilistic model, even at very fine scales. These fail to capture contrast fluctuations and local contour information—features to which human observers are highly sensitive. See Gerhard et al.
Image Credit: Holly E. Gerhard, Werner Reichardt Centre for Integrative Neuroscience