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simpleITKInverseDeconvolution

By Robert Haase, based on work by Bradley Lowekamp and the SimpleITK and ITK teams

Apply SimpleITKs Inverse Deconvolution to an image.

See also: https://itk.org/Doxygen/html/classitk_1_1InverseDeconvolutionImageFilter.html

Category: Filter

Availability: Available in Fiji by activating the update sites clij, clij2 and clijx-assistant-extensions. This function is part of clijx-assistant-simpleitk_-0.6.0.1.jar.

Usage in ImageJ macro

Ext.CLIJx_simpleITKInverseDeconvolution(Image input, Image input_psf, Image destination, Number kernelZeroMagnitudeThreshold, Boolean normalize);

Usage in object oriented programming languages

Java
// init CLIJ and GPU
import net.haesleinhuepf.clijx.CLIJx;
import net.haesleinhuepf.clij.clearcl.ClearCLBuffer;
CLIJx clijx = CLIJx.getInstance();

// get input parameters
ClearCLBuffer input = clijx.push(inputImagePlus);
ClearCLBuffer input_psf = clijx.push(input_psfImagePlus);
destination = clijx.create(input);
float kernelZeroMagnitudeThreshold = 1.0;
boolean normalize = true;
// Execute operation on GPU
clijx.simpleITKInverseDeconvolution(input, input_psf, destination, kernelZeroMagnitudeThreshold, normalize);
// show result
destinationImagePlus = clijx.pull(destination);
destinationImagePlus.show();

// cleanup memory on GPU
clijx.release(input);
clijx.release(input_psf);
clijx.release(destination);
Matlab
% init CLIJ and GPU
clijx = init_clatlabx();

% get input parameters
input = clijx.pushMat(input_matrix);
input_psf = clijx.pushMat(input_psf_matrix);
destination = clijx.create(input);
kernelZeroMagnitudeThreshold = 1.0;
normalize = true;
% Execute operation on GPU
clijx.simpleITKInverseDeconvolution(input, input_psf, destination, kernelZeroMagnitudeThreshold, normalize);
% show result
destination = clijx.pullMat(destination)

% cleanup memory on GPU
clijx.release(input);
clijx.release(input_psf);
clijx.release(destination);

License terms

This plugin is licensed BSD3, see:
https://github.com/clij/clijx-assistant-simpleitk/blob/master/license.txt
The underlying SimpleITK librariy is Apache 2 licensed:
https://github.com/SimpleITK/SimpleITK/blob/master/LICENSE

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