Image Coding Using Nonlinear Evolutionary Transforms

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@InProceedings{Takamura:2013:DCC,

• author = "Seishi Takamura and Atsushi Shimizu",
• title = "Image Coding Using Nonlinear Evolutionary Transforms",
• booktitle = "Data Compression Conference (DCC 2013)",
• year = "2013",
• month = "20-22 " # mar,
• pages = "521--521",
• keywords = "genetic algorithms, genetic programming, transform coding, nonlinear transform",
• DOI = "doi:10.1109/DCC.2013.100",
• ISSN = "1068-0314",
• abstract = "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, 0.590percent (vs. JM18.0) and 1.711percent (vs. HM5.0) coding gain was observed in our preliminary experiment.",
• notes = "Also known as \cite{6543131}",

}

Genetic Programming entries for Seishi Takamura Atsushi Shimizu

Citations