The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Contrast in complex images
Abstract
The contrast of test images such as sinusoidal gratings or a single patch of light on a uniformed background is well defined, but this is not the case for complex images. When the Michelson definition, used for sinusoidal test patterns, is applied to complex scenes the contrast of the whole picture may be defined based on only one point in the image. Human contrast sensitivity is known to be a function of the spatial frequency. Therefore, the spatial frequency content of an image should be included in the definition of contrast. We propose a definition of local bandlimited contrast in images which assigns a contrast value to every point in the image as a function of the spatial frequency band. The contrast is calculated for frequencies at one-octave intervals. For each frequency, the contrast is defined as the ratio of the bandpass filtered image at that frequency to the low-pass filtered image filtered to an octave below the same frequency.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Chapter 9 Visual adaptation and retinal gain controls
Shapley, R., & Enroth-Cugell, C. (1984) · Progress in Retinal Research · doi:10.1016/0278-4327(84)90011-7 · Cited by 885
Retinal blood-flow visualization by means of laser speckle photography.
Briers, J. D., & FERCHER, A. F. (1982) · PubMed · Cited by 230
Sawtooth contrast sensitivity: Decrements have the edge
Bowen, R. W., Pokorny, J., & Smith, V. C. (1989) · Vision Research · doi:10.1016/0042-6989(89)90134-x · Cited by 113
Schwartz, E. L., & Merker, B. (1986) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.1986.276630 · Cited by 40
Cited by
Information content weighting for perceptual image quality assessment
Wang, Z., & Li, Q. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2092435 · Cited by 1,304
Modern Image Quality Assessment
Wang, Z., & Bovik, A. C. (2006) · Synthesis Lectures on Image, Video, and Multimedia Processing · doi:10.1007/978-3-031-02238-8 · Cited by 967
Transform coefficient histogram-based image enhancement algorithms using contrast entropy
Agaian, S. S., Silver, B., & Panetta, K. A. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.888338 · Cited by 575
Eye movement assessment of selective attentional capture by emotional pictures.
Nummenmaa, L., Hyönä, J., & Calvo, M. G. (2006) · Emotion · doi:10.1037/1528-3542.6.2.257 · Cited by 454
A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images
Wang, S., Ma, K., Yeganeh, H., Wang, Z., & Lin, W. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2015.2487369 · Cited by 444
Metadata
- Authors
- Peli, E.
- Venue
- Annual Meeting Optical Society of America
- Publisher
- Optica Publishing Group
- Published
- 1988
- Pages
- FD8
- OpenAlex
- W4321466059
- Cited by
- 937
- References
- 4
- FWCI
- 13.66
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Contrast in complex images. https://app.cochat.ai/papers/10.1364/oam.1988.fd8
- The paper
- Peli, E. (1988). Contrast in complex images. Annual Meeting Optical Society of America. https://doi.org/10.1364/oam.1988.fd8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
