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.