@inproceedings{Kasahara2002_0,<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Abstract = {In this experiment, two psychophysical scaling methods were employed to analyze the effect of physical characteristics on image quality. To vary physical characteristics acting on a real situation, 7 different prints were produced using a combination of 5 printers and different paper types. In the first part of experiment, paired-comparison with Thurstone's Law of Comparative Judgment was performed to construct a preference scale. In the second part, judgments of similarity and dissimilarity were made using triad presentations. The similarity and dissimilarity data were analyzed using nonmetric multidimensional scaling to construct the psychological stimulus space. The psychological stimulus space was correlated with the physical characteristics. A context dependency in the primary physical characteristics on image quality was studied by comparing the results of the three images. The results indicate that the psychological stimulus space can be characterized well in two dimensions. An ideal point model can be used to identify preference in this space. The color variation in the images had high correlation with the psychological space.},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Address = {Tokyo, Tokyo, Japan},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Author = {Hirokazu Kasahara and Ethan D.  Montag and Edward F.  Hattenberger},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Booktitle = {, International Congress of Imaging Science},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Keywords = {quality},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Month = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Number = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Organization = {IS&T},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Pages = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Title = {Image Quality Analysis Using Multidimensional Scaling},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Url = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Volume = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Year = {2002}