Visualization method for Munsell colour model computer

Abstract

A Munsell color model computer visual method belonging to the computer color conversion and display technology field, comprises creating a Munsell color model database; converting three exciting values (x, y, Y0) of the Munsell color model database into a form of (X, Y, Z), and replacing the (x, y, Y0) data in the original database by data of the (X, Y, Z) form; selecting key color samples in an RGB color model to make an experiment color chart, adding the three exciting values (X, Y, Z) of the experiment color chart and Munsell values (H, V, C) in the database; converting the three exciting values (X, Y, Z) in the database into an RGB form, and replacing the (X, Y, Z) data in the database by data (R, G, B) in the RGB form; filtering and washing sample data of the database; educating a mapping mathematical model of the RGB model and the Munsell model; and constructing a Munsell color visual display interface. The invention is capable of accurately reproducing the Munsell color system on a computer display, with a color visual maximal error Delta Eab equal to 0.64.

Description

technical field [0001] The invention relates to a method in the field of computer technology, in particular to a computer visualization method of the Munsell color model. Background technique [0002] The visual color models realized by the comprehensive existing computer software system mainly include: RGB, CIE_xyz, HSB / HSV, Lab and CMYK. The RGB model is a mathematical model that expresses the color space of computer equipment. The value ranges of its parameters R, G, and B are all [0, 255]. By controlling the three parameters of red (Red), green (Green), and blue (Blue), You can get up to 16777216 (ie 2 24 ) colors. However, the distribution law of the RGB color space is visually extremely uneven like the CIE_xyz color space. In order to convert the CIE_xyz color space into a uniform color space, the International Institute of Illumination (CIE) has developed a visually uniform CIE_L*a*b* model. The L*a*b* model is a nonlinear transformation form of the RGB model. But...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that although the Lab model has better visual distribution characteristics than RGB, the method of using Lab as an intermediate model not only increases the complexity of the conversion process, but also increases the cumulative error, and does not fundamentally improve the relationship between RGB and RGB. The complex mapping relationship and conversion accuracy between MUNSELL, it is obvious that this method using simple empirical formulas is difficult to accurately achieve overly complex nonlinear mapping

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