This paper investigates the possibility of finding a criterion for selecting significant image information able to assess the quality of the whole image. The small class of natural images along with their statistical properties has been analyzed. Preliminary experimental results using SSIM as the visual quality measure are presented; the low statistical errors obtained confirms the effectiveness of this strategy. © 2011 University of Zagreb.
Image quality assessment through a subset of the image data / Bruni, Vittoria; Ramponi, G.; Vitulano, D.. - STAMPA. - (2011), pp. 414-419. (Intervento presentato al convegno 7th International Symposium on Image and Signal Processing and Analysis, ISPA 2011 tenutosi a Dubrovnik nel 4 September 2011 through 6 September 2011).
Image quality assessment through a subset of the image data
BRUNI, VITTORIA;D. Vitulano
2011
Abstract
This paper investigates the possibility of finding a criterion for selecting significant image information able to assess the quality of the whole image. The small class of natural images along with their statistical properties has been analyzed. Preliminary experimental results using SSIM as the visual quality measure are presented; the low statistical errors obtained confirms the effectiveness of this strategy. © 2011 University of Zagreb.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
