Color mapping method for inkjet printing and dyeing of textiles based on rbf neural network

Abstract

The invention relates to a color mapping method for textile ink-jet printing and dyeing based on an RBF (Radical Basis Function) neural network. The method comprises the steps that a CMYK sample set saving use of printing ink is designed, and a color measuring instrument collects color sample data; for colors within a color gamut of a dyeing machine, the RBF neural network is used to establish a conversion relation between RGB and CMYK; and for colors beyond the color gamut of the dyeing machine, four compression methods are used to obtain replacing colors in the color gamut. The conversion relation is established via the above three steps, any RGB picture can be converted into a CMYK picture accurately, and the method is used for ink-jet printing and dyeing of patterns of textiles.

Description

technical field [0001] The invention belongs to the field of digital printing color management. Aiming at the inconsistency between printing and dyeing colors and display colors in digital printing color management and the large amount of waste of ink, a color mapping method based on RBF neural network for inkjet printing and dyeing of textiles is proposed, which is suitable for New RGB and CMYK sample set conversions. Background technique [0002] Digital inkjet printing of textiles began in the 1970s. With the continuous development of computer technology, digital inkjet printing technology has gradually become a product of current technological applications integrating computer data processing, precision instruments, and photoelectric technology. The printing and dyeing industry is an important part of my country's textile industry, but my country's research on digital inkjet printing technology started late, accounting for only a small part of the printing and dyeing ind...

AI Technical Summary

Problems solved by technology

The numerical model method does not have the limitations of the assumptions in the physical transformation model, but the numerical model requires a large amount of data collection, and there will be a variety of mapping and inaccurate problems

The 3D LUT method establishes the conversion relationship between the device-independent color space and the device-dependent color space in a table. The accuracy of the 3D LUT method mainly depends on the number of colors measured and the interpolation method selected during color conversion. The limitation of this method is A large amount of color data needs to be collected, the operation is cumbersome and the cost is high, and it cannot adapt to the large-scale deployment of digital printing equipment

In the above conversion algorithm, after the conversion relationship obtained through learning is written into the ICC file, there is a certain value conversion loss

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