JuliaImages / JuliaImages/ImageFiltering.jl
algorithm: local laplacian filters
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- Dominant language
- Julia
- Stars
- 104
- Forks
- 52
- PR merge metrics
- No merged PRs in 30d
Description
Paris, Sylvain, Samuel W. Hasinoff, and Jan Kautz. "Local Laplacian filters: Edge-aware image processing with a Laplacian pyramid." ACM Trans. Graph. 30.4 (2011): 68.
Aubry, Mathieu, et al. "Fast local laplacian filters: Theory and applications." ACM Transactions on Graphics (TOG) 33.5 (2014): 1-14.
This is a quite famous algorithm, unless I missed it, we don't have a Julia implementation of it.
A very early (pre-1.0) attempt to this is: https://github.com/loganwilliams/local-laplacian-filtering
Contributor guide
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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.
Research direction
Start by reading the two cited papers to understand the local Laplacian filter algorithm, then review the early pre-1.0 implementation at github.com/loganwilliams/local-laplacian-filtering. Done means providing a Julia implementation of the algorithm in ImageFiltering.jl, with behavior suitable for the project’s image-processing scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100