Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 4 DOI reference(s) in README -
○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.7%) to scientific vocabulary
Keywords
Repository
Retinex in Matlab
Basic Info
- Host: GitHub
- Owner: sfu-cs-vision-lab
- License: agpl-3.0
- Language: MATLAB
- Default Branch: main
- Homepage: https://doi.org/10.1117/1.1636761
- Size: 2.3 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Retinex in Matlab
Abstract
Many different descriptions of retinex methods of lightness computation exist. This paper provides concise MATLAB implementations of two of the spatial techniques of making pixel comparisons. The code is presented along with test results on several images and a discussion of the results. The paper also discusses the calibration of input images and the post-retinex processing required to display the output images.
Citation
``` @article{10.1117/1.1636761, author = {Brian V. Funt and Florian Ciurea and John J. McCann}, title = {{Retinex in MATLAB}}, volume = {13}, journal = {Journal of Electronic Imaging}, number = {1}, publisher = {SPIE}, pages = {48 -- 57}, abstract = {Many different descriptions of retinex methods of lightness computation exist. This paper provides concise MATLAB implementations of two of the spatial techniques of making pixel comparisons. The code is presented along with test results on several images and a discussion of the results. The paper also discusses the calibration of input images and the post-retinex processing required to display the output images.}, keywords = {MATLAB, Image processing, Control systems, Data modeling, Sun, Calibration, Visual process modeling, Spatial frequencies, Human vision and color perception, Visualization}, year = {2004}, doi = {10.1117/1.1636761}, URL = {https://doi.org/10.1117/1.1636761} }
```
Owner
- Name: Computation Vision Laboratory
- Login: sfu-cs-vision-lab
- Kind: organization
- Location: Canada
- Website: https://www.cs.sfu.ca/research/groups/Vision/
- Repositories: 1
- Profile: https://github.com/sfu-cs-vision-lab
SFU Computational Vision Lab conducting research into machine vision and image processing, with emphasis on computational models of colour vision
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this work, please cite it as below."
preferred-citation:
type: article
authors:
- family-names: Funt
given-names: Brian V.
- family-names: Ciurea
given-names: Florian
- family-names: McCann
given-names: John J.
title: "Retinex in MATLAB"
journal: "Journal of Electronic Imaging"
keywords:
- MATLAB
- Image processing
- Control systems
- Data modeling
- Sun
- Calibration
- Visual process modeling
- Spatial frequencies
- Human vision and color perception
- Visualization
volume: 13
number: 1
pages: 48-57
publisher: "SPIE"
year: 2004
month: null
doi: 10.1117/1.1636761
url: https://doi.org/10.1117/1.1636761
abstract: |
Many different descriptions of retinex methods of lightness computation exist. This paper provides concise MATLAB implementations of two of the spatial techniques of making pixel comparisons. The code is presented along with test results on several images and a discussion of the results. The paper also discusses the calibration of input images and the post-retinex processing required to display the output images.
GitHub Events
Total
- Push event: 1
- Public event: 1
Last Year
- Push event: 1
- Public event: 1
Committers
Last synced: 12 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Alex Forsythe | a****e@o****g | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 12 months ago
All Time
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- Total pull requests: 0
- Average time to close issues: N/A
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- Total issue authors: 0
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- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0