Noise Adaptive Fuzzy Equalization method (NAFE)
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 30/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- computer-vision
Research direction
Start with the linked paper and inspect the attempted implementation in pull request #24, then compare its output with the original version and the linked Python implementation. Done means a working NAFE algorithm with matching comparisons, tests, performance work, documentation, and a worked example.
Written by the indexing model from the issue text.
Description
The idea is from this paper.
Base:
- Working and well implemented algorithm. One attempt is here https://github.com/sunpy/sunkit-image/pull/24
- Compared to known output (original version).
- Compared to another version in Python. With both maybe within this package.
Extra:
- Optimized as much as possible for memory and CPU time.
- 100% test coverage
- Documentation and a worked example.
Attempts:
- Dominant language
- Python
- Stars
- 39
- Forks
- 50
- Avg merge
- 15h 27m
- Merged PRs (30d)
- 3
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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