Show HN: Deconvolution – a Rust image deconvolution and restoration crate

2 comments

• dj_axl 17 hours ago
  Any denoising?

  https://github.com/Twinklebear/oidn-rs

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  • rmi0 3 hours ago
    There are some noise-handling pieces, but no public denoising API. E.g.: Wiener/unsupervised Wiener configs, NSR estimation, regularization, and simulation helpers for Gaussian/Poisson/readout noise. The crate is focused on deconvolution.
• esafak 18 hours ago
  Nice work. Old skool methods at this point. You could add some neural methods but then you'd lose any performance benefits of Rust and might as well use the richer Python ecosystem.
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  • srean 17 hours ago
    I am a little wary of the new school denoisers.

    https://news.ycombinator.com/item?id=48263398

    https://news.ycombinator.com/item?id=48258915

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    • esafak 17 hours ago
      You raise a good point. I think a good UX would be to give the user more control over fidelity; locally, and globally.