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imageJ2RichardsonLucyDeconvolution

Apply ImageJ2 / ImageJ Ops Richardson Lucy Deconvolution to an image.

Categories: Deconvolve, Filter

Availability: Available in Fiji by activating the update sites clij, clij2 and clijx-assistant-extensions. This function is part of clijx-assistant-imagej2_-0.4.1.0.jar.

Usage in ImageJ macro

Ext.CLIJx_imageJ2RichardsonLucyDeconvolution(Image input, Image kernel_input, Image destination, Number num_iterations);

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 kernel_input = clijx.push(kernel_inputImagePlus);
destination = clijx.create(input);
int num_iterations = 10;
// Execute operation on GPU
clijx.imageJ2RichardsonLucyDeconvolution(input, kernel_input, destination, num_iterations);
// show result
destinationImagePlus = clijx.pull(destination);
destinationImagePlus.show();

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

% get input parameters
input = clijx.pushMat(input_matrix);
kernel_input = clijx.pushMat(kernel_input_matrix);
destination = clijx.create(input);
num_iterations = 10;
% Execute operation on GPU
clijx.imageJ2RichardsonLucyDeconvolution(input, kernel_input, destination, num_iterations);
% show result
destination = clijx.pullMat(destination)

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

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