A no-reference metric for perceived ringing

A novel no-reference metric to quantify ringing annoyance in compressed images is presented. It makes use of a recently proposed method to detect regions with perceived ringing. In this paper that method is expanded with the estimation of the visibility of ringing artifacts in the detected regions. A psychovisual experiment is carried out to validate the proposed metric. Its performance is compared to existing alternatives in literature and shows to be highly consistent with subjective data

[1]  Ingrid Heynderickx,et al.  A Perceptually Relevant Approach to Ringing Region Detection , 2010, IEEE Transactions on Image Processing.

[2]  Abdelhakim Saadane,et al.  Reference free quality metric for JPEG-2000 compressed images , 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

[3]  Truong Q. Nguyen,et al.  Image coding ringing artifact reduction using morphological post-filtering , 1998, 1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175).

[4]  Ingrid Heynderickx,et al.  Perceptually relevant ringing region detection method , 2008, 2008 16th European Signal Processing Conference.

[5]  Sanjit K. Mitra,et al.  Annoyance of individual artifacts in MPEG-2 compressed video and their relation to overall annoyance , 2005, IS&T/SPIE Electronic Imaging.

[6]  Jean-Bernard Martens,et al.  Quality asessment of coded images using numerical category scaling , 1995, Other Conferences.

[7]  Sugato Chakravarty,et al.  Methodology for the subjective assessment of the quality of television pictures , 1995 .

[8]  Stefan Winkler,et al.  Perceptual blur and ringing metrics: application to JPEG2000 , 2004, Signal Process. Image Commun..