The DOI matches its Crossref record.
Accurate control of contrast on microcomputer displays
Open accessAbstract
Off-the-shelf microcomputers can now display arbitrary 8-bit images, but accurate control of these images requires dealing with several undesirable properties of real digital to analog converters (DACs) and analog video monitors. The limitations of DACs and video monitors are presented in the form of a model for their calibration and use in vision experiments. Low contrasts can be accurately rendered by summing a small accurate a.c. signal and a large less-accurate d.c. signal (Watson et al., 1986; Behavior Research, Method, Instrument and Computers, 18, 587-594). Exploiting that idea, this note presents an easy-to-build passive resistor network, a video attenuator, that combines the outputs of three 8-bit DACs to render low contrasts with 12-bit accuracy at the display. Measurements confirm the 12-bit accuracy.
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
Cited by
Controlling low-level image properties: The SHINE toolbox
Willenbockel, V., Sadr, J., Fiset, D., Horne, G. O., Gosselin, F., & Tanaka, J. W. (2010) · Behavior Research Methods · doi:10.3758/brm.42.3.671 · Cited by 1,166
Carrasco, M., Ling, S., & Read, S. (2004) · Nature Neuroscience · doi:10.1038/nn1194 · Cited by 1,085
Compulsory averaging of crowded orientation signals in human vision
Parkes, L., Lund, J., Angelucci, A., Solomon, J. A., & Morgan, M. (2001) · Nature Neuroscience · doi:10.1038/89532 · Cited by 893
Bayesian adaptive estimation of psychometric slope and threshold
Kontsevich, L. L., & Tyler, C. W. (1999) · Vision Research · doi:10.1016/s0042-6989(98)00285-5 · Cited by 668
Accounts of the confidence-accuracy relation in recognition memory
Busey, T. A., Tunnicliff, J., Loftus, G. R., & Loftus, E. F. (2000) · Psychonomic Bulletin & Review · doi:10.3758/bf03210724 · Cited by 277
Metadata
- Authors
- Pelli, D. G., & Zhang, L.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 1991
- Volume
- 31
- Issue
- 7-8
- Pages
- 1337-1350
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2033361489
- Cited by
- 474
- References
- 0
- FWCI
- 6.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Accurate control of contrast on microcomputer displays. https://app.cochat.ai/papers/10.1016/0042-6989(91)90055-a
- The paper
- Pelli, D. G., & Zhang, L. (1991). Accurate control of contrast on microcomputer displays. Vision Research. https://doi.org/10.1016/0042-6989(91)90055-a
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.