The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Color and spatial structure in natural scenes
Abstract
Digitized records of terrain scenes were produced using a technique of photographic colorimetry. Each record consisted of three tristimulus images (X, Y, and Z) which were analyzed for their color statistics, spatial frequency content, and image correlation. Interactions between color and space were examined using a cone receptor transformation. It is shown that the scene amplitude spectra follow an approximate reciprocal variation with frequency, and that the correlation function can be described by a one-step autoregressive model. The results are discussed in terms of methods for optimum image coding in human and machine 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
An algorithm for the machine calculation of complex Fourier series
Cooley, J. W., & Tukey, J. W. (1965) · Mathematics of Computation · doi:10.1090/s0025-5718-1965-0178586-1 · Cited by 13,154
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
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Coordinating perceptually grounded categories through language: A case study for colour
steels, L., & belpaeme, T. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x05000087 · Cited by 440
Rethinking the Backdoor Attacks’ Triggers: A Frequency Perspective
Zeng, Y., Park, W., Mao, Z. M., & Jia, R. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01616 · Cited by 193
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models
Corvi, R., Cozzolino, D., Poggi, G., Nagano, K., & Verdoliva, L. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00104 · Cited by 142
Bayesian natural selection and the evolution of perceptual systems
Geisler, W. S., & Diehl, R. L. (2002) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2001.1055 · Cited by 101
How diverse retinal functions arise from feedback at the first visual synapse
Drinnenberg, A., Franke, F., Morikawa, R. K., Jüttner, J., Hillier, D., Hantz, P., Hierlemann, A., Azeredo da Silveira, R., & Roska, B. (2018) · Neuron · doi:10.1016/j.neuron.2018.06.001 · Cited by 61
Towards an Ecology of Motion Vision
Eckert, M. P., & Zeil, J. (2001) · Motion Vision · doi:10.1007/978-3-642-56550-2_18 · Cited by 57
Coding of the contrasts in natural images by populations of neurons in primary visual cortex (V1)
Clatworthy, P. L., Chirimuuta, M., Lauritzen, J. S., & Tolhurst, D. J. (2003) · Vision Research · doi:10.1016/s0042-6989(03)00277-3 · Cited by 54
Exploiting the Signal-Leak Bias in Diffusion Models
Everaert, M. N., Fitsios, A., Bocchio, M., Arpa, S., Süsstrunk, S., & Achanta, R. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv57701.2024.00398 · Cited by 13
Metadata
- Authors
- Burton, G. J., & Moorhead, I. R.
- Venue
- Applied Optics
- Publisher
- Optica Publishing Group
- Published
- 1987-01-01
- Volume
- 26
- Issue
- 1
- Pages
- 157
- ISSN
- 0003-6935 (ISSN-L)
- 1539-4522
- OpenAlex
- W2158646162
- Cited by
- 499
- References
- 3
- FWCI
- 0.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
