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Two-Dimensional Approach to Full-Reference Image Quality Assessment Based on Positional Structural Information

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3 Author(s)
Capodiferro, L. ; Fondazione Ugo Bordoni, Rome, Italy ; Jacovitti, G. ; Di Claudio, Elio D.

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.

Published in:

Image Processing, IEEE Transactions on  (Volume:21 ,  Issue: 2 )