The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Contrast constancy: deblurring in human vision by spatial frequency channels.
Open accessAbstract
The perception of contrast was measured in humans by a technique of subjective contrast‐matching, and was compared with contrast sensitivity as defined by threshold measures. 2. Contrast‐matching between different spatial frequencies was performed correctly (especially at frequencies above 5 c/deg) despite the attenuation by optical and neural factors which cause large differences in contrast thresholds. 3. Contrast‐matching between single lines of different widths was also veridical, and was not limited by the spatial integration (Ricco's Law) present at threshold. Adaptation to gratings altered the appearance of lines, and this could be best understood in Fourier terms. 4. The generality of these results was shown by matching the contrast of pictures which had been filtered so that each contained a one octave band of spatial frequencies. 5. Within the limits imposed by threshold and resolution, contrast‐matching was largely independent of luminance and position on the retina. 6. Six out of eleven astigmatic observers showed considerable suprathreshold compensation for their orientation‐specific neural deficit in contrast sensitivity. 7. These results define a new property of vision: contrast constancy. It is argued that spatial frequency channels in the visual cortex are organized to compensate for earlier attenuation. This achieves a dramatic 'deblurring' of the image, and optimizes the clarity of vision.
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Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
The contrast sensitivity of retinal ganglion cells of the cat
Enroth-Cugell, C., & Robson, J. G. (1966) · The Journal of Physiology · doi:10.1113/jphysiol.1966.sp008107 · Cited by 2,625
Development of the brain depends on the visual environment
BLAKEMORE, C., & COOPER, G. F. (1970) · Nature · doi:10.1038/228477a0 · Cited by 1,005
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Peli, E. (1990) · Journal of the Optical Society of America A · doi:10.1364/josaa.7.002032 · Cited by 1,298
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images
Chandler, D. M., & Hemami, S. S. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.901820 · Cited by 1,147
Predictive coding: a fresh view of inhibition in the retina
Srinivasan, M. V., Laughlin, S. B., & Dubs, A. (1982) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1982.0085 · Cited by 1,042
A detection theory account of change detection
Wilken, P., & Ma, W. J. (2004) · Journal of Vision · doi:10.1167/4.12.11 · Cited by 771
Feature detection in human vision: a phase-dependent energy model
Concetta Morrone, M., & Burr, D. C. (1988) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1988.0073 · Cited by 685
Metadata
- Authors
- Georgeson, M. A., & Sullivan, G. D.
- Venue
- The Journal of Physiology
- Publisher
- Wiley
- Published
- 1975-11
- Volume
- 252
- Issue
- 3
- Pages
- 627-656
- ISSN
- 0022-3751 (ISSN-L)
- 1469-7793
- OpenAlex
- W2099995386
- Cited by
- 542
- References
- 3
- FWCI
- 1.90
- Type
- journal article
- Language
- en
- Open access
- green
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