Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Pseudo no reference image quality metric using perceptual data hiding

[+] Author Affiliations
Alexandre Ninassi, Patrick Le Callet, Florent Autrusseau

Univ. de Nantes (France)

Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570G (February 03, 2006); doi:10.1117/12.650780
Text Size: A A A
From Conference Volume 6057

  • Human Vision and Electronic Imaging XI
  • Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly
  • San Jose, CA | January 15, 2006

abstract

Regarding the important constraints due to subjective quality assessment, objective image quality assessment has recently been extensively studied. Such metrics are usually of three kinds, they might be Full Reference (FR), Reduced Reference (RR) or No Reference (NR) metrics. We focus here on a new technique, which recently appeared in quality assessment context: data-hiding-based image quality metric. Regarding the amount of data to be transmitted for quality assessment purpose, watermarking based techniques are considered as pseudo noreference metric: A little overhead due to the embedded watermark is added to the image. Unlike most existing techniques, the proposed embedding method exploits an advanced perceptual model in order to optimize both the data embedding and extraction. A perceptually weighted watermark is embedded into the host image, and an evaluation of this watermark allows to assess the host image's quality. In such context, the watermark robustness is crucial; it must be suffciently robust to be detected after very strong distortions, but it must also be suffciently fragile to be degraded along with the host image. In other words, the watermark distortion must be proportional to the image's distortion. Our work is compared to existing standard RR and NR metrics in terms of both the correlation with subjective assessment and of data overhead induced by the mark.

© (2006) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Alexandre Ninassi ; Patrick Le Callet and Florent Autrusseau
"Pseudo no reference image quality metric using perceptual data hiding", Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570G (February 03, 2006); doi:10.1117/12.650780; http://dx.doi.org/10.1117/12.650780


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.