Title :
Image quality assessment through a subset of the image data
Author :
Bruni, Vittoria ; Vitulano, Domenico ; Ramponi, Giovanni
Author_Institution :
Dept. of SBAI, Univ. of Rome La Sapienza, Rome, Italy
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.
Keywords :
image processing; SSIM; image data; image information; image quality assessment; AWGN; Correlation; Image restoration; Lakes;
Conference_Titel :
Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on
Conference_Location :
Dubrovnik
Print_ISBN :
978-1-4577-0841-1
Electronic_ISBN :
1845-5921
