Paper
27 April 1995 Printer-related color processing techniques
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Proceedings Volume 2413, Color Hard Copy and Graphic Arts IV; (1995) https://doi.org/10.1117/12.207599
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
This paper reviews the color image processing techniques used in the printing industry for the color space transformation. Generally, the techniques can be classified as the color mixing models, multiple regression, 3D lookup table (LUT) with interpolation, neural network, and fuzzy logic. The following techniques are briefly discussed. (1) Color mixing models such as the Neugebauer equations, Yule-Nielsen model, Clapper-Yule model, Beer-Bouguer law, and Kubelka-Munk theory. (2) Multiple regression. (3) 3D LUT with four geometric interpolations - trilinear, prism, pyramid, and tetrahedral. (4) Artificial neural networks of the multilayer feed-forward and cascade correlation nets. (5) Fuzzy logic. These techniques are compared, whenever possible, with respect to the accuracy, memory requirement, speed, and computational cost.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Henry R. Kang "Printer-related color processing techniques", Proc. SPIE 2413, Color Hard Copy and Graphic Arts IV, (27 April 1995); https://doi.org/10.1117/12.207599
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Cited by 8 scholarly publications.
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KEYWORDS
3D modeling

RGB color model

Neural networks

Fuzzy logic

Prisms

3D image processing

Halftones

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