The aim of an objective image quality assessment is to find an automatic algorithm that evaluates the quality of pictures or video as a human observer would do. To reach this goal...
Alexandre Ninassi, Olivier Le Meur, Patrick Le Cal...
Current research on image quality assessment tends to include visual attention in objective metrics to further enhance their performance. A variety of computational models of visu...
Image quality assessment (IQA) is of great importance for many image processing applications. Some IQA indexes proposed recently more or less try to boost their performance to acc...
Most existing quality metrics do not take the human attention analysis into account. Attention to particular objects or regions is an important attribute of human vision and perce...
Junyong You, Andrew Perkis, Miska M. Hannuksela, M...
We propose an alternative interpretation of Bayesian surprise in the spatial domain, to account for saliency arising from contrast in image context. Our saliency formulation is in...
Ioannis Gkioulekas, Georgios Evangelopoulos, Petro...