https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Simske_Gaubatz_2010aSimske Gaubatz 2010a - Revision history2026-04-30T16:25:06ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Simske_Gaubatz_2010a&diff=208293&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 777993350 to Simske Gaubatz 2010a2021-02-03T19:46:53Z<p>Scipediacontent moved page <a href="/public/Draft_Content_777993350" class="mw-redirect" title="Draft Content 777993350">Draft Content 777993350</a> to <a href="/public/Simske_Gaubatz_2010a" title="Simske Gaubatz 2010a">Simske Gaubatz 2010a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Simske_Gaubatz_2010a&diff=208292&oldid=prevScipediacontent: Created page with " == Abstract == In high-speed printed media inspection environments, image restoration pipelines play a critical role in establishing and continually evaluating performance...."2021-02-03T19:46:50Z<p>Created page with " == Abstract == In high-speed printed media inspection environments, image restoration pipelines play a critical role in establishing and continually evaluating performance...."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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In high-speed printed media inspection environments, image restoration pipelines play a critical role in establishing and continually evaluating performance. A key role of such systems is to understand, mitigate (and possibly remove) artifacts introduced by motion blur. An approach is proposed that uses barcodes to help calibrate a one-dimensional blur restoration pipeline. Techniques are demonstrated whereby the structure of barcode markings may be leveraged to estimate motion blur parameters, even under extreme blur conditions or when the barcode is unknown. In addition, a framework for comparing blur estimation procedures based on barcode readability is introduced. These techniques can be applied independently of one another, but together form a set of useful tools for blur restoration pipeline calibration. Within this framework, it is shown that a low-complexity blur estimation strategy demonstrates performance competitive with state-of-the-art approaches in term of speed and accuracy.<br />
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== Original document ==<br />
<br />
The different versions of the original document can be found in:<br />
<br />
* [http://www.hpl.hp.com/techreports/2010/HPL-2010-168.pdf http://www.hpl.hp.com/techreports/2010/HPL-2010-168.pdf]<br />
<br />
* [http://xplorestaging.ieee.org/ielx5/5641636/5648792/05651946.pdf?arnumber=5651946 http://xplorestaging.ieee.org/ielx5/5641636/5648792/05651946.pdf?arnumber=5651946],<br />
: [http://dx.doi.org/10.1109/icip.2010.5651946 http://dx.doi.org/10.1109/icip.2010.5651946]<br />
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* [https://dblp.uni-trier.de/db/conf/icip/icip2010.html#GaubatzS10 https://dblp.uni-trier.de/db/conf/icip/icip2010.html#GaubatzS10],<br />
: [http://www.hpl.hp.com/techreports/2010/HPL-2010-168.pdf http://www.hpl.hp.com/techreports/2010/HPL-2010-168.pdf],<br />
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005651946 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005651946],<br />
: [https://ieeexplore.ieee.org/document/5651946 https://ieeexplore.ieee.org/document/5651946],<br />
: [https://academic.microsoft.com/#/detail/2026676424 https://academic.microsoft.com/#/detail/2026676424]</div>Scipediacontent