http://de.evo-art.org/index.php?action=history&feed=atom&title=Image_Coding_Using_Nonlinear_Evolutionary_TransformsImage Coding Using Nonlinear Evolutionary Transforms - Versionsgeschichte2026-04-05T02:41:19ZVersionsgeschichte dieser Seite in de_evolutionary_art_orgMediaWiki 1.27.4http://de.evo-art.org/index.php?title=Image_Coding_Using_Nonlinear_Evolutionary_Transforms&diff=1735&oldid=prevGbachelier: Die Seite wurde neu angelegt: „ == Reference == Seishi Takamura and Atsushi Shimizu: Image Coding Using Nonlinear Evolutionary Transforms. Data Compression Conference (DCC 2013), pp. 521-52…“2014-11-25T12:50:08Z<p>Die Seite wurde neu angelegt: „ == Reference == Seishi Takamura and Atsushi Shimizu: Image Coding Using Nonlinear Evolutionary Transforms. Data Compression Conference (DCC 2013), pp. 521-52…“</p>
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== Reference ==<br />
Seishi Takamura and Atsushi Shimizu: Image Coding Using Nonlinear Evolutionary Transforms. Data Compression Conference (DCC 2013), pp. 521-521, 20-22 March 2013. <br />
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== DOI ==<br />
http://dx.doi.org/10.1109/DCC.2013.100<br />
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== Abstract ==<br />
Transform is one of the most important tools for image/video coding technology. In this paper, novel nonlinear transform generation based on genetic programming is proposed and implemented into H.264/AVC and HEVC reference software to enhance coding performance. The transform procedure itself is coded and transmitted. Despite this overhead, 0.590% (vs. JM18.0) and 1.711% (vs. HM5.0) coding gain was observed in our preliminary experiment.<br />
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== Extended Abstract ==<br />
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