A No-Reference Blocking Artifacts Metric Using Selective Gradient and Plainness Measures

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• 作者：Jianhua Chen ; Yongbing Zhang ; Luhong Liang ; Siwei Ma ; Ronggang Wang ; et al.
• 关键词：Blocking artifacts metric ; gradient measures ; plainness measures
• 刊名：Lecture Notes in Computer Science
• 出版年：2008
• 出版时间：2008
• 年：2008
• 卷：5353
• 期：1
• 页码：894-897
• 全文大小：178.6 KB

文摘

This paper presents a novel no-reference blocking artifacts metric using selective gradient and plainness (BAM_SGP) measures for DCT-coded images. A boundary selection criterion is introduced to distinguish the blocking artifacts boundaries from the true-edge boundaries, which ensures that the most potential artifacts boundaries are involved in the measurement. Next, the artifacts are evaluated by the gradient and plainness measures indicating different aspects of blocking artifacts characteristics. Then these two measures are fused into a metric of blocking artifacts. Compared with some existing metrics, experiments on the LIVE database and our own test set show that the proposed metric can keep better consistent with Mean Opinion Score (MOS).