@inproceedings{4723255,
	Author = {Xu Yanfang and Wang Yu and Zhai Ming},
	Booktitle = {Computer Science and Software Engineering, 2008 International Conference on},
	Date-Added = {2012-10-31 16:50:00 +0000},
	Date-Modified = {2012-10-31 16:50:10 +0000},
	Doi = {10.1109/CSSE.2008.977},
	Keywords = {S-CIELAB color quality metric;S-CIELAB model;color difference recognizing probability;color reproduction quality metric;image color difference;image color fidelity threshold parameter;just-perceived color difference;printing images;visual paired-comparison;colorimetry;image colour analysis;},
	Month = {12},
	Pages = {294-297},
	Title = {Color Reproduction Quality Metric on Printing Images Based on the S-CIELAB Model},
	Volume = {6},
	Year = {2008},
	Abstract = {The just-perceived color difference in a pair of printing images, the reproduction and its original, has been confirmed, subjectively by a paired-comparison psychological experiment and objectively by the S-CIELAB color quality metric. For one color image, a total number of 53 pairs of test images, simulating a number of varieties in C, M, Y, and K ink amounts, were produced, and determined their corresponding color difference recognizing probabilities by visual paired-comparison. Also, the image color difference Delta Es values, presented in the S-CIELAB model, for each pairs of images were calculated and correlated with their color difference recognizing probability. The results showed that the just-perceived image color difference Delta Es, when 0.9 color difference recognizing probability being considered as the just-perceived level, was about 1.4 Delta Eab units for the experiment image, being the image color fidelity threshold parameter.},
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For one color image, a total number of 53 pairs of test images, simulating a number of varieties in C, M, Y, and K ink amounts, were produced, and determined their corresponding color difference recognizing probabilities by visual paired-comparison. Also, the image color difference Delta Es values, presented in the S-CIELAB model, for each pairs of images were calculated and correlated with their color difference recognizing probability. 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