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Gratopy 0.1 release candidate 1

Kristian Bredies; Richard Huber


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    <subfield code="a">Radon transform</subfield>
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    <subfield code="a">fanbeam transform</subfield>
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    <subfield code="a">pixel-driven projection methods</subfield>
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    <subfield code="a">computed tomography</subfield>
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    <subfield code="u">University of Graz</subfield>
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    <subfield code="a">Kristian Bredies</subfield>
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    <subfield code="a">Gratopy 0.1 release candidate 1</subfield>
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    <subfield code="c">P 29192</subfield>
    <subfield code="a">Regularization Graphs for Variational Imaging</subfield>
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    <subfield code="c">W 1244</subfield>
    <subfield code="a">Partial Differential Equations - Modelling, Analysis, Numerical Methods and Optimization</subfield>
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    <subfield code="a">GNU General Public License v3.0 or later</subfield>
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    <subfield code="a">&lt;p&gt;The &lt;strong&gt;Gr&lt;/strong&gt;az &lt;strong&gt;a&lt;/strong&gt;ccelerated &lt;strong&gt;to&lt;/strong&gt;mographic projection for &lt;strong&gt;Py&lt;/strong&gt;thon &lt;strong&gt;(Gratopy)&lt;/strong&gt; is a software tool for Python3 developed to allow for efficient, high quality execution of projection methods such as Radon and fanbeam transform. The operations contained in the toolbox are based on pixel-driven projection methods, which were shown to possess suitable approximation properties. The code is based in a powerful OpenCL/GPU implementation, resulting in high execution speed, while allowing for seamless integration into &lt;a href="https://documen.tician.de/pyopencl/"&gt;PyOpenCL&lt;/a&gt;. Hence this can efficiently be paired with other PyOpenCL code, in particular OpenCL based optimization algorithms.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Highlights&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Easy-to-use tomographic projection toolbox.&lt;/li&gt;
	&lt;li&gt;High-quality 2D projection operators.&lt;/li&gt;
	&lt;li&gt;Fast projection due to custom OpenCL/GPU implementation.&lt;/li&gt;
	&lt;li&gt;Seamless integration into PyOpenCL.&lt;/li&gt;
	&lt;li&gt;Basic iterative reconstruction schemes included (Landweber, CG, total variation).&lt;/li&gt;
	&lt;li&gt;Comprehensive documentation, tests and example code.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Note that this is a pre-release.&lt;/strong&gt;&lt;/p&gt;</subfield>
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