Paper
22 April 1996 Temporal properties of natural scenes
J. H. van Hateren, A. van der Schaaf
Author Affiliations +
Proceedings Volume 2657, Human Vision and Electronic Imaging; (1996) https://doi.org/10.1117/12.238709
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
A major problem a visual system faces is how to fit the large intensity variation of natural image streams into the limited dynamic range of its neurons. One of the means to accomplish this is through the use of fast light adaptation of the photoreceptors. In order to investigate this, we measured first time series of natural intensities, and second responses of fly photoreceptors to these time series. Time series representative of what each photoreceptor of a real visual system would normally receive were measured with an optical system measuring the light intensity of a spot comparable to the field of view of single human foveal cones. This system was worn on a head-band by a freely walking person. Resulting time series have a high rms-contrast in the order of 1, and power spectra behaving approximately as 1/f (f: temporal frequency). Measured time series were subsequently presented to fly photoreceptors by playing them back on an LED. The results show that fast light adaptation indeed keeps the response within the dynamic range of the cells and that a large part of this range is actually needed for packing the information in natural time series.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. H. van Hateren and A. van der Schaaf "Temporal properties of natural scenes", Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); https://doi.org/10.1117/12.238709
Lens.org Logo
CITATIONS
Cited by 35 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Receptors

Visual system

Neurons

Time metrology

Eye

Linear filtering

Visualization

RELATED CONTENT


Back to Top