Rank-based camera spectral sensitivity estimation
- Submitting institution
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The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182620392
- Type
- D - Journal article
- DOI
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10.1364/JOSAA.33.000589
- Title of journal
- Journal of the Optical Society of America A
- Article number
- -
- First page
- 589
- Volume
- 33
- Issue
- 4
- ISSN
- 1084-7529
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- 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
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- To understand how a camera responds to light we need estimate the vision system’s spectral sensitivities. In the EPSRC grant J005223 we, with our partners at the National Physical Laboratory and the Institute of Ophthalmology at UCL, developed a ranking argument that could solve for the first time the linear spectral sensitivities from non-linear data. Our algorithm - protected by the patent US 10594903 - was part of the IP commercialized by the Spectral Edge Ltd (UEA spin out). Ranking also helped us to understand aspects of human colour perception [Darrodi, Rider, Stockman and Finlayson (2016), J. of Vision].
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -