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. © Springer-Verlag Berlin Heidelberg 2007.
|Titel||Computer analysis of images and patterns : 12th international conference, CAIP 2007, Vienna, Austria, August 27-29, 2007 : proceedings|
|Redacteuren||W.G. Kropatsch, M. Kampel, A. Hanbury|
|Plaats van productie||Berlin|
|ISBN van geprinte versie||978-3-540-74272-2|
|Status||Gepubliceerd - 2007|
|Naam||Lecture Notes in Computer Science|
|ISSN van geprinte versie||0302-9743|