clij2-fft

Name	clij2-fft JSON
Version	0.27 JSON
	download
home_page	https://github.com/clij/clij2-fft
Summary	A python wrapper around clij2 opencl FFT algorithms
upload_time	2024-08-25 14:02:03
maintainer	None
docs_url	None
author	Robert Haase, Brian Northan
requires_python	None
license	BSD
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
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            # clij2-fft (featuring non-circulant rltv deconvolution)

clij2-fft is a prototype implementation of a framework for OpenCl based FFT algorithms.  The most used algorithm from this project is the OpenCL implementation of the non-circular Richardson Lucy deconvolution algorithm with total variation regularization, which can be called as follows

```
from clij2fft.richardson_lucy import richardson_lucy_nc
decon_clij2=richardson_lucy_nc(im,psf,100,0.0002)
```

or for large image that need to be split up into chunks with dask

```
from clij2fft.richardson_lucy_dask import richardson_lucy_dask
decon=richardson_lucy_dask(img, psf, 100, 0.0001)
```

If you need support for the library please post a question on the [Image.sc Forum](https://forum.image.sc/).

Long term we hope to integrate FFT based math more closely with the [Clic project](https://github.com/clEsperanto/CLIc_prototype).  The goal is to make it easy to write algorithms such as convolution, correlation, registration and deconvolution that consist of a series of FFTs combined with other math operations. 

            

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