In this paper we propose a digital image quality metric based on human visual system. This metric considers the coefficients of discrete cosine transform related to each 8x8 block of an image. To perform image evaluation PQMET detects a distortion applied to the image and then selects the corresponding matrix of minimum visibility thresholds capable to produce a visible signal. Therefore it uses the information about the distortion applied, with a consequent improvement in the image quality evaluation. The experimental results show that the proposed metric achieves competitive performance with other well known metrics and outperforms them in some cases.
PQMET: a digital image quality metric based on human visual system.
DIMAURO, Giovanni;SCALERA, Michele
2014-01-01
Abstract
In this paper we propose a digital image quality metric based on human visual system. This metric considers the coefficients of discrete cosine transform related to each 8x8 block of an image. To perform image evaluation PQMET detects a distortion applied to the image and then selects the corresponding matrix of minimum visibility thresholds capable to produce a visible signal. Therefore it uses the information about the distortion applied, with a consequent improvement in the image quality evaluation. The experimental results show that the proposed metric achieves competitive performance with other well known metrics and outperforms them in some cases.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
