https://github.com/andrew-saydjari/cloudclean.jl

Image infilling algorithm with focus on statistically accuracy

https://github.com/andrew-saydjari/cloudclean.jl

Science Score: 26.0%

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    Low similarity (13.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Image infilling algorithm with focus on statistically accuracy

Basic Info
  • Host: GitHub
  • Owner: andrew-saydjari
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Size: 16.5 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 2
  • Open Issues: 3
  • Releases: 0
Created about 3 years ago · Last pushed 10 months ago
Metadata Files
Readme License

README.md

CloudClean.jl

"docs" "unit tests" "codecov"

Image infilling algorithm with focus on statistically accuracy

Installation

For the most recent development version, install directly from the GitHub

julia import Pkg Pkg.add(url="https://github.com/andrew-saydjari/CloudClean.jl")

Description

By leveraging the local pixel-pixel covarariance structure in an image, CloudClean attempts to predict the values of missing pixels based on near-by unmasked pixels. The user needs only to provide an image and a mask of "bad" pixels and the choice of a few hyper parameters. CloudClean has two main operating modes:

  1. proc_discrete, which attempts to fill in masked data in a subregion centered on a discrete list of input points
  2. proc_continuous, which infills arbitrarily shaped and centered masks. The latter is like "Photoshop" for images with correlated structure.

This code is based heavily upon (and is in some sense a simplification of) CloudCovErr.jl.

Example

An example of the quality of the prediction for missing pixels is demonstrated on this image from the WISE 12 μm dust map. More examples, notebooks, and documentation are in process.

"WISE infill example"

Contributing and Questions

This is a new piece of software. Filing an issue to report a bug or request a feature is extremely valuable in helping us prioritize what to work on, so don't hesitate.

Owner

  • Name: Andrew Saydjari
  • Login: andrew-saydjari
  • Kind: user
  • Location: Cambridge, MA
  • Company: @Harvard

5th Year PhD student @ Harvard Physics. BS/MS @ Yale '18. I am an astronomer interested in data science working on dust.

GitHub Events

Total
  • Issues event: 2
  • Issue comment event: 2
  • Push event: 276
  • Pull request event: 2
  • Create event: 2
Last Year
  • Issues event: 2
  • Issue comment event: 2
  • Push event: 276
  • Pull request event: 2
  • Create event: 2

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 2
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 minutes
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 minutes
  • Issue authors: 2
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • JHoffmann12 (1)
  • cgarling (1)
Pull Request Authors
  • andrew-saydjari (1)
Top Labels
Issue Labels
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Dependencies

.github/workflows/CI.yml actions
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.github/workflows/CI_lite.yml actions
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  • julia-actions/cache v1 composite
  • julia-actions/julia-buildpkg v1 composite
  • julia-actions/julia-processcoverage v1 composite
  • julia-actions/julia-runtest v1 composite
  • julia-actions/setup-julia v1 composite
.github/workflows/CompatHelper.yml actions
.github/workflows/Documentation.yml actions
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  • julia-actions/setup-julia latest composite
.github/workflows/TagBot.yml actions
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