Paper
27 January 2010 Toward a simplified perceptual quality metric for watermarking applications
Maurizio Carosi, Vinod Pankajakshan, Florent Autrusseau
Author Affiliations +
Proceedings Volume 7542, Multimedia on Mobile Devices 2010; 75420D (2010) https://doi.org/10.1117/12.838627
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
This work is motivated by the limitations of statistical quality metrics to assess the quality of images distorted in distinct frequency ranges. Common quality metrics, which basically have been designed and tested for various kind of global distortions, such as image coding may not be efficient for watermarking applications, where the distortions might be restricted on a very narrow portion of the frequency spectrum. We hereby want to propose an objective quality metric whose performances do not depend on the distortion frequency range, but we nevertheless want to provide a simplified objective quality metric in opposition to the complex Human Visual System (HVS) based quality metrics recently made available. The proposed algorithm is generic (not designed for a particular distortion), and exploits the contrast sensitivity function (CSF) along with an adapted Minkowski error pooling. The results show a high correlation between the proposed objective metric and the mean opinion score (MOS) given by observers. A comparison with relevant existing objective quality metrics is provided.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maurizio Carosi, Vinod Pankajakshan, and Florent Autrusseau "Toward a simplified perceptual quality metric for watermarking applications", Proc. SPIE 7542, Multimedia on Mobile Devices 2010, 75420D (27 January 2010); https://doi.org/10.1117/12.838627
Lens.org Logo
CITATIONS
Cited by 13 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Digital watermarking

Databases

Molybdenum

Image quality

Contrast sensitivity

Spatial frequencies

Image compression

RELATED CONTENT

Evaluating contrast sensitivity
Proceedings of SPIE (February 03 2006)
New image quality measure based on wavelets
Proceedings of SPIE (January 27 2009)
New image compression artifact measure using wavelets
Proceedings of SPIE (January 10 1997)
HVS-based image quality assessment for digital cinema
Proceedings of SPIE (January 18 2010)

Back to Top