Spectral edge: gradient-preserving spectral mapping for image fusion
- Submitting institution
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The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182620149
- Type
- D - Journal article
- DOI
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10.1364/JOSAA.32.002384
- Title of journal
- Journal of the Optical Society of America A
- Article number
- -
- First page
- 2384
- Volume
- 32
- Issue
- 12
- ISSN
- 1084-7529
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2015
- 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
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2
- Research group(s)
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-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The majority of fusion algorithms map N image planes to a single summary image. Because we are trichromatic we developed a mathematically principled approach for mapping N images to 3 (colour) or more generally N to M. Our research, funded by EPSRC grants E012248 and IO28455 with Life Sciences, University of Bradford was at the foundation of the company Spectral Edge Ltd. Spectral Edge was incorporated in 2011, raised £7 million in venture capital and grew to 15 employees before it was acquired by an industry-major in 2019. The work is published as US patent No. 8682093B2 .
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -