From 4dca05f94a12600299e5a41657fbe3400d36ebd8 Mon Sep 17 00:00:00 2001 From: Brian Northan Date: Tue, 5 Dec 2023 07:00:56 -0500 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index db7ec63..767d38d 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ There are many GPU deconvolution projects in Python, which are probably easier t Currently most of the focus has been on an implementation of Richardson Lucy Deconvolution that includes non-circulant edge handling and total variation regularization. We found this particularly useful in deconvolving images from instruments with extended PSFs, for which the classic version of Richardson Lucy sometimes produces ringing at high iteration numbers. See an example [here](https://forum.image.sc/t/deconvolution-minimizing-edge-artifacts/69828/2) -Latest features and updates are tracked in the [Release Log](https://clij.github.io/clij2-fft/docs/releaselog) though this code is still in very early development. If you are experimenting with this code base please feel free to submit an issue or ping us on the [Imaging Forum]( +Latest features and updates are tracked in the [Release Log](https://clij.github.io/clij2-fft/docs/releaselog) though this code is still in very early development. If you are experimenting with this code base please feel free to submit an issue or ping us on the [Imaging Forum](https://forum.image.sc/). The clij2-fft project is built upon [clFFT](https://github.com/arrayfire/clFFT)