Saliency-driven image coding improves overall perceived JPEG quality

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.

Fachgebiet (DDC)

004 Informatik

Konferenz

PCS 2016 : 32nd Picture Coding Symposium, 4. Dez. 2016 - 7. Dez. 2016, Nürnberg

Zitieren

ISO 690

HOSU, Vlad, Franz HAHN, Oliver WIEDEMANN, Sung-Hwan JUNG, Dietmar SAUPE, 2016. Saliency-driven image coding improves overall perceived JPEG quality. PCS 2016 : 32nd Picture Coding Symposium. Nürnberg, 4. Dez. 2016 - 7. Dez. 2016

BibTex

@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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URL der Originalveröffentl.

https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/HoHaWi16.pdf

Prüfdatum der URL

2017-05-16

Universitätsbibliographie

Ja