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Color space transition method based on fuzzy theory

A color space conversion and fuzzy theory technology, applied in color signal processing circuits, image communication, electrical components, etc., can solve the problems of large number of color samples, complex models, slow calculation speed, etc.

Inactive Publication Date: 2009-05-27
SHAANXI UNIV OF SCI & TECH
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Problems solved by technology

[0003] The purpose of the present invention is to provide a color space conversion method based on fuzzy theory, which solves the problems of low precision, complex model, large number of color samples and slow calculation speed in the existing method, and the steps are simple and the data conversion precision is high

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  • Color space transition method based on fuzzy theory
  • Color space transition method based on fuzzy theory
  • Color space transition method based on fuzzy theory

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Embodiment

[0022] Convert to CIE L in RGB color space * a * b * Taking the color space as an example, using the Matlab fuzzy control toolbox, the color space conversion method based on the fuzzy theory of the present invention is specifically described.

[0023] Step 1: Adjust the input device monitor, output device printer. Use Adobe Gamma software to adjust the Gamma value, black and white field value, brightness value and other parameters of the monitor to make the monitor display normally. Test the printer so that it prints normally.

[0024] Step 2: Create a color target file with CorelDRAW software. The value range of R, G, and B spaces is 0 to 255. Divide the three spaces of R, G, and B into 4 subspaces, and the equal points are 0, 64 , 128, 192, 255, for the three coordinate axes of RGB, the total number of sampling points is 5 × 5 × 5 = 125, print out, use a spectrophotometer to measure the printed color patch L * a * b * value, get the color space RGB and L * a * b * ...

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Abstract

The present invention discloses a color space converting method based on a fuzzy theory, which comprises the following steps: input and output equipment is adjusted to guarantee the equipment to be normally used; according to color space needing to be changed, sampling points are selected, and the modeling data of the sampling points is acquired; input and output color space fuzzy subsets are divided, and fuzzy subset subjection degree functions are selected; at the same time, fuzzy control rules are established, each fuzzy control rule has a fuzzy implicit relationship correspondingly, and the combination of the fuzzy implicit relationships of all the fuzzy control rules is the chief fuzzy implicit relationship of the system; and the chief fuzzy implicit relationship of the system is clearly treated so as to obtain an output value. The color space converting method based on the fuzzy theory uses an artificial intelligence fuzzy set theory and fuzzy logical deduction, so that the conversion of the color space is completed. The method has the advantages of simple step and high data conversion precision.

Description

technical field [0001] The invention belongs to the technical field of printing color management, and relates to a color space conversion method, in particular to a color space conversion method based on fuzzy theory. Background technique [0002] The color space conversion methods proposed in recent years include: Neusselberger equation method, multiple regression method, lookup table and interpolation method, neural network method, etc. These methods are all based on the deterministic characteristics of classical mathematics. The Neusselberger equation method can complete the establishment of the conversion relationship with only a few measurements, but it does not consider factors such as light scattering and penetration in the paper, so it is difficult to meet the high-precision requirements. The polynomial regression method is based on the principle of the additivity of the three stimulus values, by establishing an appropriate regression model, determining the paramete...

Claims

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Application Information

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IPC IPC(8): H04N1/60H04N9/67
Inventor 智川石毅梁巧萍张曼刘国栋杨保宏
Owner SHAANXI UNIV OF SCI & TECH
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