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Soft morphological filtering of solar images #10

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nabobalis opened this issue Feb 23, 2018 · 4 comments
Open
6 tasks

Soft morphological filtering of solar images #10

nabobalis opened this issue Feb 23, 2018 · 4 comments
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Effort High Requires a large time investment. Feature Request New feature wanted! Package Novice Requires little of knowledge of the package. Priority Low Rapid action not required.

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@nabobalis
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nabobalis commented Feb 23, 2018 •
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The idea comes from this paper.

Base:

  • Replicating the training dataset. (Add noise manually to a set of images)
  • Working and well implemented algorithm.
  • Compared to known output (Have to find source code.)

Extra:

  • Optimized as much as possible for memory and CPU time.
  • 100% test coverage
  • Documentation and a worked example.
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@nabobalis nabobalis added Feature Request New feature wanted! Effort High Requires a large time investment. Package Novice Requires little of knowledge of the package. Priority Low Rapid action not required. labels Jan 15, 2019
@nabobalis
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nabobalis commented Jan 16, 2019 •
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#35 adds an example that uses https://github.com/astropy/astroscrappy and it shows promise with some parameter fidding. We could either close this in favour or still implement the original feature.

@wafels wafels mentioned this issue Jan 28, 2019
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@vatch123 vatch123 mentioned this issue Jun 27, 2019
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Effort High Requires a large time investment. Feature Request New feature wanted! Package Novice Requires little of knowledge of the package. Priority Low Rapid action not required.
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