The Web-based Subjective Quality Assessment of an Adaptive Image Compression Plug-in

Maria Laura Mele, Damon Millar, Christiaan Erik Rijnders

2017

Abstract

Images are a key element for conveying information about visual systems. However, image-based representation and communication require large information bandwidth. Image compression is currently the leading methodology for reducing bandwidth/load problems thus improving User Experience. Synthetic objective metrics are often used to assess the quality of image compression models, but they often do not reliably predict subjective ratings. This work shows the end-users’ quality evaluation of a new compression plug-in fully compliant with all on-going image formats. The subjective quality assessment of jpeg pictures compressed by the plug-in followed a new Web-based Single Stimulus Continuous Quality Scale method, whose validity and reliability have been described in a previously published study. The results of this study show that pictures compressed by the proposed adaptive image compression plug-in have a 55% compression gain compared to jpeg images compressed by Facebook Mobile, with no loss in perceived image quality.

References

  1. ITU Telecom. 2002. Standardization Sector of ITU. Methodology for the Subjective Assessment of the Quality of Television Pictures, Recommendation ITUR BT. 500 11. ITU Recommendation, I. T. U. R. B. T.: 500 11.
  2. Liu, X., Pedersen, M., Hardeberg, J.Y., 2014. CID:IQ - A New Image Quality Database. In Proceedings of the International Conference on Image and Signal Processing 2014 (ICISP 2014), June 30-July 2, Cherbourg, Normandy, France.
  3. Mele, M.L., Millar, D., Rijnders, C.E., 2016. Validating a Quality Perception Model for Image Compression: The Subjective Evaluation of the Cogisen's Image Compression Plug-in. In Proceedings of the 18th International Conference on Human-Computer Interaction (HCI 2016). Human-Computer Interaction: Interaction Technologies. Springer International Publishing.
  4. Nielsen, J., 1998. Nielsen's law of internet bandwidth. Retrieved April 4, 2016 from http://www.useit.com/ alertbox/980405.html
  5. Mohammadi, P., Ebrahimi-Moghadam, A., & Shirani, S., 2014. Subjective and objective quality assessment of image: A survey. arXiv preprint arXiv:1406.7799.
  6. Sarode, M. C. A., & Patil, S. V., 2016. A Review on Image Compression Techniques.
  7. Sheikh, H.R., Sabir, M.F., Bovik, A.C., 2006. A Statistical Evaluation of Recent Full Reference Quality Assessment Algorithms, IEEE Transactions on Image Processing, vol. 15, no. 11, pp. 3440-3451.
  8. Sternberg, R., & Sternberg, K., 2016. Cognitive psychology. Nelson Education.
  9. Vidhya, K., Karthikeyan, G., Divakar, P., & Ezhumalai, S., 2016. A Review of lossless and lossy image compression techniques.
  10. Winkler, S. 2012. Analysis of public image and video databases for quality assessment. Selected Topics in Signal Processing, IEEE Journal of, 6(6), 616-625.
Download


Paper Citation


in Harvard Style

Mele M., Millar D. and Rijnders C. (2017). The Web-based Subjective Quality Assessment of an Adaptive Image Compression Plug-in . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017) ISBN 978-989-758-229-5, pages 133-137. DOI: 10.5220/0006226401330137


in Bibtex Style

@conference{hucapp17,
author={Maria Laura Mele and Damon Millar and Christiaan Erik Rijnders},
title={The Web-based Subjective Quality Assessment of an Adaptive Image Compression Plug-in},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017)},
year={2017},
pages={133-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006226401330137},
isbn={978-989-758-229-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017)
TI - The Web-based Subjective Quality Assessment of an Adaptive Image Compression Plug-in
SN - 978-989-758-229-5
AU - Mele M.
AU - Millar D.
AU - Rijnders C.
PY - 2017
SP - 133
EP - 137
DO - 10.5220/0006226401330137