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A Color Control Method for Image Output with Projection Displays

机译:具有投影显示的图像输出的色彩控制方法

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摘要

The present paper proposes a nonlinear approach using a neural network for color control of projection displays, including the LCD and DLP types. This approach accepts variations in primary color coordinates and coupling among RGBW channels. We regard a display system as an unknown nonlinear system with RGB signal inputs and XYZ tristimulus outputs. We determine the RGB values so that the projector outputs the desired XYZ values. The neural network is used for estimating adaptively an inverse mapping from the XYZ space to the RGB space. Because of a direct mapping, we can eliminate the need to predict white channel separation. Moreover, we present a method for correcting the emitted luminance, according to the spatial location and the surface color of a screen. The spatial correction is needed because a color image from a computer is not displayed uniformly on the screen. Also the screen color correction is needed because color reproduction is based on the light reflected from the screen. The correction makes it possible to reproduce accurate color images on a colored wall at any location.
机译:本文提出了一种使用神经网络的非线性方法来控制投影显示器的颜色,包括LCD和DLP类型。此方法接受RGBW通道之间原色坐标的变化和耦合。我们将显示系统视为具有RGB信号输入和XYZ三激励输出的未知非线性系统。我们确定RGB值,以便投影仪输出所需的XYZ值。神经网络用于自适应地估计从XYZ空间到RGB空间的逆映射。由于直接映射,我们可以消除预测白色通道分离的需要。此外,我们提出了一种根据屏幕的空间位置和表面颜色来校正发光亮度的方法。需要空间校正,因为来自计算机的彩色图像不能在屏幕上均匀显示。另外,由于颜色再现基于从屏幕反射的光,因此需要屏幕颜色校正。该校正使得可以在任何位置的彩色墙壁上再现准确的彩色图像。

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