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About MichaelVinther

  • Birthday 02/14/1978

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  1. I've updated the download link. Also posted a new version with a small bugfix: https://www.fosshub.com/Image-Analyzer.html?dwl=LaplacianPyramidFilterPDN1.1.2.zip
  2. This is a noise reduction filter for improving photos taken at high ISO values. It is based on a neural network which was trained on a number of high ISO images from two different Canon cameras (because that is what I had available) but it seem to generalize well on photos from other cameras. It works quite well for removing noise and recovering details in my experiments so far. Unfortunately it is really slow running on the CPU so I recommend trying it out on a smaller crop of the full image. It is possible to make it run much faster on a Cuda capable Nvidia GPU but it can be a bit
  3. This is a noise reduction filter for e.g. improving photos taken at high ISO values. It works by averaging similar texture patches to reduce noise and at the same time preserve edges and details. The plugin contains two filters available from the Effects | Noise menu. The Local Stats Denoising which is probably the most powerful but also a bit harder to setup and the Adaptive Noise Reduction which is an older version but easier to use. Download version 2.0.0 (2019-08-30) https://www.fosshub.com/Image-Analyzer.html?dwl=LocalStatsDenoisingFilterPDN2.0.0.zip Unzip th
  4. Updated to version 1.1.0 with speed optimizations and a brightness slider added.
  5. I tried to implement the optimizations they describe in this paper, but unfortunately it didn't give much compared to my existing implementation. For some parameter values (with Detail handling=1 (alpha in the paper)) it is faster (perhaps 2x) but for other values it actually takes longer to achieve the same quality. I've uploaded the plugin with a new version that uses the new algorithm when it makes sense.
  6. Thanks for the hint, I will get this paper. Just one more example (photo from Mostar, Bosnia-Herzegovina, © Michael Vinther 2015):
  7. I have placed the previous version of the plugin which should be compatible with older versions of PDN here: LaplacianPyramidFilter1.0.0.1.zip Note that it is somewhat slower than the latest version.
  8. I have just updated the download link with a new version that is much faster. .. and another tone mapping example (photo from The Cisterns below Copenhagen, © Michael Vinther 2014):
  9. Basically it's all in the paper referenced in the first post.. The algorithm is fairly complex to explain so that would be the best reference.
  10. Should be fixed now. Ok, didn't know that. Actually I just copied the text from my Increase local Contrast plugin which was released before Paint.NET required that version.
  11. By the way, if anyone has an idea for a better icon for the plugin you are welcome to send me a new picture - the current one was taken from myIncrease Local Contrast plugin.
  12. The Laplacian pyramid can be used to improve the overall illumination of photos, typically useful when part of the scene is in shadow. It can also smooth or enhance details in a photo without smoothing edges or introduce halos. Similar filters are used for tonemapping HDR pictures. Unfortunately the processing can take long time on big photos, so have patience... The filter was inspired by the paper "Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid" by Sylvain Paris, Samuel W. Hasinoff and Jan Kautz. (http://people.csail..../2011/siggraph/) Example on detail
  13. A new version has been released. The last used texture folder is now remembered.
  14. When the final PDN 3.5 is released I will probably make a new release of my plugins but I don't expect to do it before that..
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