This paper presents a novel Full Reference method for image quality assessment based on two indices measuring respectively detail loss and spurious detail addition. These indices define a two dimensional (2D) state in a Virtual Cognitive State (VCS) space. The quality estimation is obtained as a 2D function of the VCS, empirically determined via polynomial fitting of DMOS values of training images. The method provides at the same time highly accurate DMOS estimates, and a quantitative account of the causes of quality degradation.
Image Quality Assessment Based on Detail Differences / DI CLAUDIO, Elio; Iacovitti, Giovanni. - ELETTRONICO. - (2014), pp. 551-555. (Intervento presentato al convegno EUSIPCO 2014 tenutosi a Lisbon; Portugal).
Image Quality Assessment Based on Detail Differences
DI CLAUDIO, Elio;IACOVITTI, Giovanni
2014
Abstract
This paper presents a novel Full Reference method for image quality assessment based on two indices measuring respectively detail loss and spurious detail addition. These indices define a two dimensional (2D) state in a Virtual Cognitive State (VCS) space. The quality estimation is obtained as a 2D function of the VCS, empirically determined via polynomial fitting of DMOS values of training images. The method provides at the same time highly accurate DMOS estimates, and a quantitative account of the causes of quality degradation.| File | Dimensione | Formato | |
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