title: Two-dimensional approach to full-reference image quality assessment based on positional structural information.
abstract: A method for full-reference visual quality assessment based on the 2-D combination of two diverse metrics is described. The first metric is a measure of structural information loss based on the Fisher information about the position of the structures in the observed images. The second metric acts as a categorical indicator of the type of distortion that images underwent. These two metrics constitute the inner state of a virtual cognitive model, viewed as a system whose output is the automatic visual quality estimate. The use of a 2-D metric fills the intrinsic incompleteness of methods based on a single metric while providing consistent response across different image impairment factors and blind distortion classification capability with a modest computational overhead. The high accuracy and robustness of the method are demonstrated through cross-validation experiments.
authors.affiliation: Fondazione Ugo Bordoni, 00161 Rome, Italy. lcapodiferro@fub.it
authors.forename: Licia
authors.initials: L
authors.lastname: Capodiferro
authors.forename: Giovanni
authors.initials: G
authors.lastname: Jacovitti
authors.forename: Elio D
authors.initials: ED
authors.lastname: Di Claudio