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Gratopy 0.1 release candidate 1

Kristian Bredies; Richard Huber


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        <foaf:name>Richard Huber</foaf:name>
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    <dcat:keyword>Radon transform</dcat:keyword>
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    <dct:description>&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;</dct:description>
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