首页> 外文会议>First International Conference on Image and Graphics: Image and Graphic Technology Toward 21st Century and Beyond, 1st, Aug 16-18, 2000, Tianjin, China >Color Spaces Conversion of Image between the Input and Output Devices by Means of Artificial Neural Networks
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Color Spaces Conversion of Image between the Input and Output Devices by Means of Artificial Neural Networks

机译:人工神经网络在输入和输出设备之间进行图像的色彩空间转换

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摘要

This article presents a new method for color spaces conversion of image between the input and output devices based on artificial neural network technique. By the technique the color difference of image can be controlled between 0-3(LAB). So that the color of source image can be very good realistically reappeared after some devices such as scanner, printer etc process it. The result shows that the color disparity caused by the difference method of dealing with color between input and output devices can be effectively corrected.
机译:本文提出了一种基于人工神经网络技术的输入输出设备之间图像色彩空间转换的新方法。通过该技术,可以将图像的色差控制在0-3(LAB)之间。这样,在某些设备(例如扫描仪,打印机等)对其进行处理后,源图像的颜色可以很好地再现出来。结果表明,可以有效地校正由输入和输出设备之间的颜色处理方法不同引起的颜色差异。

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