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Spot-color ink color matching method based on particle swarm optimization (PSO)

A particle swarm optimization, ink technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as interference

Inactive Publication Date: 2014-04-02
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to address the deficiencies in the prior art, and propose a spot color ink color matching algorithm based on particle swarm optimization. Using this method can not only avoid the optimization algorithm from falling into local extremum, but also avoid the influence of metamerism on the prediction results. The interference of spot color inks solves the problem of accurate color matching

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  • Spot-color ink color matching method based on particle swarm optimization (PSO)
  • Spot-color ink color matching method based on particle swarm optimization (PSO)
  • Spot-color ink color matching method based on particle swarm optimization (PSO)

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] Step (1) Calibration and coloring, solve the correction coefficient by polynomial fitting method , to establish the basic database.

[0036] First, each ink is gradiently colored with a certain concentration level, that is, printed separately. Generally, 6-7 concentration gradients are used. Too little will affect the fitting accuracy of formula (2), and too much will cause computational complexity. increase, after determining the substrate and calibration ink value. The specific operation is to choose the three inks of yellow (Y), magenta (M) and cyan (C) produced by Hangzhou Toka Ink Chemical Co., Ltd. as the base colors, and use the IGT C1 offset printing ink proofer to follow different gradient concentrations and dilutions Agents are mixed, adjusted and mixed evenly according to each concentration and proofed under a pressure of 550N to obtain the spect...

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Abstract

The invention relates to a spot-color ink color matching method based on particle swarm optimization (PSO). According to the traditional method, spot-color ink color matching can not be precisely realized. The method disclosed by the invention comprises the following steps: calibrating and coloring; solving a correction factor with a polynomial fitting method; then, initializing a PSO algorithm parameter; randomly generating an initial group in a feasible solution space; calculating the fitness value of each individual; revising the position of a particle individual; and finally, detecting a termination condition. With the method, the color matching precision is more accurate, and the color matching efficiency is greatly improved. Spectral distributions between a color matching sample and a standard sample are very close, and metamerism isomerism is explained to be low.

Description

technical field [0001] The invention belongs to the technical field of printing, and in particular relates to a spot color ink matching algorithm based on particle swarm optimization. Background technique [0002] With the improvement of people's quality of life, more and more people begin to pursue the accurate reproduction of original manuscripts by printing colors. Since the spot color does not synthesize the color through the four-color overprint method of cyan, magenta, yellow, and black, but uses a special spot color ink to print the color, and each spot color has its own fixed hue, thus It can guarantee the accuracy of color in printing. Therefore, how to accurately realize the matching of spot color inks is the key to the accurate reproduction of printing colors. [0003] At present, the main spot color matching algorithm has two methods: tristimulus value matching and spectral matching. Tristimulus value color matching specifies lighting conditions to achieve the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G06N3/00
Inventor 林剑胡更生管力明赵曙光
Owner HANGZHOU DIANZI UNIV
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