@inproceedings{Hosu2016Salie-39105,
  year={2016},
  title={Saliency-driven image coding improves overall perceived JPEG quality},
  url={https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoHaWi16.pdf},
  author={Hosu, Vlad and Hahn, Franz and Wiedemann, Oliver and Jung, Sung-Hwan and Saupe, Dietmar}
}

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    <dc:contributor>Jung, Sung-Hwan</dc:contributor>
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    <dc:creator>Hahn, Franz</dc:creator>
    <dc:contributor>Hahn, Franz</dc:contributor>
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    <dcterms:abstract xml:lang="eng">Saliency-driven image coding is well worth pursuing. Previous studies on JPEG and JPEG2000 have suggested that region-of-interest coding brings little overall benefit compared to the standard implementation. We show that our saliency-driven variable quantization JPEG coding method significantly improves perceived image quality. To validate our findings, we performed large crowdsourcing experiments involving several hundred contributors, on 44 representative images. To quantify the level of improvement, we devised an approach to relate Likert-type opinions to bitrate differences. Our saliency-driven coding showed 11% bpp average benefit over the standard JPEG.</dcterms:abstract>
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    <dc:contributor>Hosu, Vlad</dc:contributor>
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