Contrast sensitivity in natural scenes depends on edge as well as spatial frequency structure

被引:81
作者
Bex, Peter J. [1 ,2 ]
Solomon, Samuel G. [3 ]
Dakin, Steven C. [2 ]
机构
[1] Harvard Univ, Sch Med, Dept Ophthalmol, Schepens Eye Res Inst, Boston, MA 02114 USA
[2] UCL, UCL Inst Ophthalmol, London, England
[3] Univ Sydney, Dept Physiol, Sydney, NSW 2006, Australia
来源
JOURNAL OF VISION | 2009年 / 9卷 / 10期
基金
英国惠康基金;
关键词
contrast sensitivity; natural images; adaptation; masking; PRIMARY VISUAL-CORTEX; RECEPTIVE-FIELD STRUCTURE; CAT STRIATE CORTEX; PERCEIVED CONTRAST; GRATING PATTERNS; HUMAN-VISION; TEMPORAL FREQUENCY; APPARENT CONTRAST; POWER SPECTRA; SIMPLE CELLS;
D O I
10.1167/9.10.1
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
The contrast sensitivity function is routinely measured in the laboratory with sine-wave gratings presented on homogenous gray backgrounds; natural images are instead composed of a broad range of spatial and temporal structures. In order to extend channel-based models of visual processing to more natural conditions, we examined how contrast sensitivity varies with the context in which it is measured. We report that contrast sensitivity is quite different under laboratory than natural viewing conditions: adaptation or masking with natural scenes attenuates contrast sensitivity at low spatial and temporal frequencies. Expressed another way, viewing stimuli presented on homogenous screens overcomes chronic adaptation to the natural environment and causes a sharp, unnatural increase in sensitivity to low spatial and temporal frequencies. Consequently, the standard contrast sensitivity function is a poor indicator of sensitivity to structure in natural scenes. The magnitude of masking by natural scenes is relatively independent of local contrast but depends strongly on the density of edges even though neither greatly affects the local amplitude spectrum. These results suggest that sensitivity to spatial structure in natural scenes depends on the distribution of local edges as well as the local amplitude spectrum.
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页数:19
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