1 January 2010 Gradient approach to quantify the gradation smoothness for output media
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J. of Electronic Imaging, 19(1), 011012 (2010). doi:10.1117/1.3271139
We aim to quantify the perception of color gradation smoothness using objectively measurable properties. We propose a model to compute the smoothness of hardcopy color-to-color gradations. It is a gradient-based method that can be determined as a function of the 95th percentile of second derivative for the tone-jump estimator and the fifth percentile of first derivative for the tone-clipping estimator. Performance of the model and a previously suggested method were psychophysically appreciated, and their prediction accuracies were compared to each other. Our model showed a stronger Pearson correlation to the corresponding visual data, and the magnitude of the Pearson correlation reached up to 0.87. Its statistical significance was verified through analysis of variance. Color variations of the representative memory colors-blue sky, green grass and Caucasian skin-were rendered as gradational scales and utilized as the test stimuli.
Youn Jin Kim, Yousun Bang, Heui-Keun Choh, "Gradient approach to quantify the gradation smoothness for output media," Journal of Electronic Imaging 19(1), 011012 (1 January 2010). https://doi.org/10.1117/1.3271139

Data modeling




Statistical analysis

Visual process modeling

Statistical modeling

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