Comments (2)
The link above is broken unfortunately. After taking a look at implementations in both OpenCV and skimage, both use a method based on patches weighted by similarity. However, the skimage implementation incorporates an input parameter called patch_distance
which limits the search for patches to a distance from the pixel in question - an option that could save considerable time I imagine. There is also a sigma
input parameter that can help with robustness when determining patch similarity.
Moreover, skimage provides an optimized version of the aforementioned approach found here and it is used by default. The relevant publication is:
Froment, Jacques. "Parameter-free fast pixelwise non-local means denoising." Image Processing On Line 4 (2014): 300-326.
and it demonstrates qualitatively similar filtering performance while reducing computation time substantially. Here is the discussion leading to its selection.
Here's a skimage demo of the slow vs fast. You can see that the fast version with sigma PSNR is quite close to the slow version with sigma. I inserted timing statements to compare runtime, and the fast version is faster by an order of magnitude.
I'm inclined to pursue the fast version with sigma unless any counter arguments are made, which would be welcome.
from imageproc.
Either option sounds good - we can always add a fast/accurate toggle at a later date if there's a need.
from imageproc.
Related Issues (20)
- initialization of `morphology::Mask` HOT 6
- Rename arguments of `assert_pixels_eq` HOT 6
- "cannot find trait `FontRef` in this scope" HOT 2
- Remove top-level clippy allows HOT 2
- Remove non-`_mut` function variants. HOT 10
- `warp_inner()` and `equalize_histogram_mut()` should be two functions based on `rayon` feature HOT 1
- migrate from `quickcheck` to `proptest`
- How does this crate compare to magick-rust? HOT 2
- Try using doc_auto_cfg to automate addition of docrs attributes
- Rename `imageproc::map::map_colors()` to `map_pixels()` HOT 2
- Another doc-macro for parallel variations of functions?
- `Rect` refactors HOT 2
- Add filter benchmarks for kernels larger than 3x3
- Add hardcoded filter3x3 function to benchmark current generic filter function against HOT 19
- Switch `imageproc::Rect` to `image::Rect` HOT 3
- `Laplacian` from `master` is wrong HOT 4
- Check for any functions missing tests
- Use `Kernel` by `ref` HOT 2
- Document release process
- Agree a sensible API for filtering so we can reduce the risk of frequent breaking changes to signatures HOT 3
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from imageproc.