<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hantao Liu</style></author><author><style face="normal" font="default" size="100%">Nick Klomp</style></author><author><style face="normal" font="default" size="100%">Ingrid Heynderickx</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A No-Reference Metric for Perceived Ringing</style></title><secondary-title><style face="normal" font="default" size="100%">Fourth International Workshop on Video Processing and Quality Metrics for Consumer Electronics VPQM-09</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">jan</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://mmi.tudelft.nl/pub/hantao/VPQM09-Fullpaper.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record></records></xml>