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Optimization Study of Quadratic Regression Model for Offset Solid Density
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DOI：10.2352/j.imagingsci.technol.2026.70.3.030404.png)
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Abstract
En 中文
Quantitative relationships among solid density, dot gain, and relative contrast in offset printing were examined using quadratic regression modeling. By designing a scientific experimental program, 20 printed samples with fields of 50% and 75% dots were collected and accurately measured using a spectrophotometer. A quadratic regression model for four-color ink was developed using response surface analysis, emphasizing the nonlinear effects and interactions among parameters. Analysis showed all regression models achieved high significance (p < 0.001), with coefficients of determination (R-2) exceeding 0.85, indicating excellent fit and predictive power. The optimal solid density parameters for the four-color inks were identified through extreme value analysis: yellow, 0.990; magenta, 1.330; cyan, 1.420; and black, 1.750, where the relative contrast peaks. These findings provide a scientific basis for optimizing offset solid density and serve as valuable guidance to improve the quality and consistency of printed materials.
Keywords:
& nbsp
offset printing
solid density
quadratic regression model
relative contrast
dot gain
Journal
J
IF:
0.5
Papers:
62
Citations:
0