Display device inverse characterizing method

Abstract

The invention relates to a display device inverse characterizing method capable of solving problems that mass data need to be stored when a display device is characterized inversely and characterizing precision is not high enough in the prior art. According to the technical scheme, the method includes that for colors to be displayed, a motivation value RGB (red, green, blue) value corresponding to the color to be displayed is primarily calculated by the aid of chromatic values XYZ; then the RGB value is substituted into a display device forward characterizing model, calculating corresponding tristimulus values X'Y'Z', and calculating color difference between the XYZ and the X'Y'Z'; if the color different is larger than a designated threshold, the motivation value RGB is readjusted, and above process is repeated till the color different meets requirements. With the method, display device inverse characterizing precision can be obviously improved, calculating speed is increased, precision of the reproduced color of the display device is improved, error in color reproduction of the display device is reduced, precision of images of the display device can be obviously improved, and the display device inverse characterizing method is applicable to inverse characterizing of commercial LED displays and various of mobile terminal display screens.

Description

technical field [0001] The invention relates to the fields of color display, reproduction and color management, and belongs to a display device reverse characterization method in the technical field of color reproduction. It specifically relates to a reverse characterization method of a display device, especially a reverse characterization method based on tristimulus value reverse calculation of drive value and forward characterization model calculation. Background technique [0002] In recent years, display technology has developed very rapidly, and color image display devices have been constantly updated. Traditional CRT display devices have almost been completely replaced by various LCD display devices. With the continuous advancement of science and technology, the functions of mobile terminals such as smartphones and tablet computers are becoming more and more powerful. Users often watch videos, pictures and other information on mobile terminals such as smartphones and t...

AI Technical Summary

Problems solved by technology

Compared with traditional CRT display devices, LCD display devices have poorer chromaticity invariance and channel additivity, so researchers have proposed a variety of characterization methods for LCD displays, but most of these models are The forward characterization model proposed for professional liquid crystal displays, that is, the known driving value, can calculate its corresponding chromaticity value through the characterization model

These models cannot calculate the corresponding driving value from the known chromaticity value, and basically do not consider the influence of ambient light on the display color of the display; the research results of Xu Yanfang et al. The impact cannot be ignored

At present, the commonly used reverse characterization method for display devices is the lookup table method, which needs to store a large amount of data, has a large amount of calculation, and the calculation speed is slow, without considering the influence of ambient light

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