A No-Reference Metric for Perceived Ringing Artifacts in Images

作者：Liu Hantao^*; Klomp Nick; Heynderickx Ingrid

来源：IEEE Transactions on Circuits and Systems for Video Technology, 2010, 20(4): 529-539.

DOI：10.1109/TCSVT.2009.2035848

• Human vision model
• image quality assessment
• objective metric
• ringing artifact annoyance

A novel no-reference metric that can automatically quantify ringing annoyance in compressed images is presented. In the. first step a recently proposed ringing region detection method extracts the regions which are likely to be impaired by ringing artifacts. To quantify ringing annoyance in these detected regions, the visibility of ringing artifacts is estimated, and is compared to the activity of the corresponding local background. The local annoyance score calculated for each individual ringing region is averaged over all ringing regions to yield a ringing annoyance score for the whole image. A psychovisual experiment is carried out to measure ringing annoyance subjectively and to validate the proposed metric. The performance of our metric is compared to existing alternatives in literature and shows to be highly consistent with subjective data.

• 出版日期2010-4