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A simplified human vision model applied to a blocking artifact metric

Liu, Hantao ORCID: and Heynderickx, Ingrid 2007. A simplified human vision model applied to a blocking artifact metric. Presented at: CAIP 2007, Vienna, Austria, 27-29 Aug 2007. Published in: Kropatsch, Walter G., Kampel, Martin and Hanbury, Allan eds. Computer Analysis of Images and Patterns. Lecture Notes in Computer Science. Lecture Notes in Computer Science , vol.4673 Berlin, Heidelberg: Springer Verlag, pp. 334-341. 10.1007/978-3-540-74272-2_42

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A novel approach towards a simplified, though still reliable human vision model based on the spatial masking properties of the human visual system (HVS) is presented. The model contains two basic characteristics of the HVS, namely texture masking and luminance masking. These masking effects are implemented as simple spatial filtering followed by a weighting function, and are efficiently combined into a single visibility coefficient. This HVS model is applied to a blockiness metric by using its output to scale the block-edge strength. To validate the proposed model, its performance in the blockiness metric is determined by comparing it to the same blockiness metric having different HVS-based models embedded. The results show that the proposed model is indeed simple, without compromising its accuracy

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: Springer Verlag
ISBN: 978-3-540-74271-5
ISSN: 0302-9743
Last Modified: 25 Oct 2022 13:07

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