A no-reference Blocking Artifacts Visibility Estimator in images

In this paper, we present a new low-complexity no-reference metric that assesses the visibility of blocking artifacts in DCT-coded images. The metric works in the spatial domain as well as in the gradient image domain without remarkable changes. Our conducted simulations showed that the metric is highly robust among many image distortion databases and extremely consistent with subjective mean opinion scores (MOS). The metric also provides a blocking visibility map that can be used for adaptive filtering of blocking artifacts.

• Type: Journal
• Year: 2010
• Where: ICIP
• Authors: Gilbert Yammine, Eugen Wige, André Kaup
• Keywords: Gradient Image Domain, ICIP 2010, Image Processing, Metric, Subjective Mean Opinion