Research on Multi-Color Separation Model Based on Polynomial Regression

Hui Fang Yang; Yao Hua Yi; Ju Hua Liu; Xiao Ying Wang

doi:10.4028/www.scientific.net/AMM.731.27

Paper Titles

Improvement of JPEG for Color Images by Incorporation of CAM02-UCS and Cubic Spline Interpolation
p.7

Physical Measurement and Spectral Reproduction of Human Skin Color
p.13

Spectral Separation Method for Multi-Ink Printers Based on Color Constancy
p.18

Evaluation of Color Rendering Index for LED and Fluorescent Light Sources
p.22

Research on Multi-Color Separation Model Based on Polynomial Regression
p.27

Accuracy Comparison of Application of Two Kinds of Cellular Neugebauer Models on Multicolor Separation
p.32

A Color Management Solution for Mobile Terminal Based on ICC Mechanism
p.37

A Scan-Digitizing Algorithm of the Printed Original Based on Use of Near-Neutral Scales
p.43

A LCD Color Calibration Model Based on Gamut-Division Algorithm
p.49

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 731Research on Multi-Color Separation Model Based on...

Research on Multi-Color Separation Model Based on Polynomial Regression

Abstract:

In order to improve the quality of prints, we usually add additional OG or RGB ink on the basis of the four-color printing ink (CMYK) to increase the printing color gamut. After that, the conventional separation technology is no longer suit for multi-color printing, so the multi-color separation technology is put forward. Currently, the main multi-color separation method is color partition technology. It divided the color space into five or six partitions. Then each partition was subdivided into several cells, and then established the polynomial color separation model for each cell. In this paper, we improved the selection of samples and cell search method. The experimental results showed that the color separation algorithm had high color separation accuracy and stability and could meet the demand of high precision multi-color printing.

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Periodical:

Applied Mechanics and Materials (Volume 731)

Pages:

27-31

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.731.27

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Online since:

January 2015

Authors:

Hui Fang Yang*, Yao Hua Yi, Ju Hua Liu, Xiao Ying Wang

Keywords:

Multi-Color Separation, Partition, Polynomial Model, Subdivide

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