Contrast sensitivity in images of natural scenes
- Submitting institution
-
The University of Westminster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- qqq2q
- Type
- D - Journal article
- DOI
-
10.1016/j.image.2019.03.002
- Title of journal
- Signal Processing: Image Communication
- Article number
- -
- First page
- 64
- Volume
- 75
- Issue
- -
- ISSN
- 0923-5965
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper introduces a novel experimental paradigm based on frequency domain image processing for measuring spatial human vision (contrast sensitivity and discrimination functions) directly from pictorial images, and models the resulting functions by extending well established mechanistic visual models. The work is significant because, to-date, human vision is typically measured using synthetic test charts (bar-charts, letter-charts, etc.). Results from the method represent better the way humans perceive the natural word. The work was funded by the MoD's DSTL, which aimed to account for the findings in the design of future generations of night vision goggles (MoD contact Harbinder Rana: HSRANA@mail.dstl.gov.uk).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
