Human perception of image distortions has been widely explored in recent years, however, research has not dealt with distortions due to geometric operations. As a consequence, there is a lack of objective visual quality measures for this class of distortions. In this paper we propose a method of objectively assessing the perceptual quality of geometrically distorted images. Our approach is based on the theory of Markov Random Fields. The idea is that the potential function of the Markov Random Field describing the distortion gives an indication of the degradation of the distorted image. This work can be seen as the first step toward the definition of an objective metric for geometric distortions in images. © 2008 SPIE-IS&T.
A psychovisual experiment on the use of Gibbs potential for the quality assessment of geometrically distorted images
D'Angelo A.;
2008-01-01
Abstract
Human perception of image distortions has been widely explored in recent years, however, research has not dealt with distortions due to geometric operations. As a consequence, there is a lack of objective visual quality measures for this class of distortions. In this paper we propose a method of objectively assessing the perceptual quality of geometrically distorted images. Our approach is based on the theory of Markov Random Fields. The idea is that the potential function of the Markov Random Field describing the distortion gives an indication of the degradation of the distorted image. This work can be seen as the first step toward the definition of an objective metric for geometric distortions in images. © 2008 SPIE-IS&T.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
