Implementation of real time color gamut mapping using neural network

Hak-Sung Lee, Dongil Han
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引用次数: 4

Abstract

A color gamut mapping is a process of mapping colors from the gamut of a source medium to fit the gamut of the reproduction medium. The input and output relationship of the color gamut mapping is highly nonlinear and there is a need to process the color gamut mapping in real-time. In this paper, a neural network is applied to the real time color gamut mapping. By the learning ability, the neural network is trained to effectively handle the high nonlinearity of the color gamut mapping. And also real time hardware architecture of neural network is presented in this paper. Simulation result shows the soundness of the proposed method.
利用神经网络实现实时色域映射
色域映射是从源介质的色域映射颜色以适应再现介质的色域的过程。色域映射的输入输出关系是高度非线性的,需要对色域映射进行实时处理。本文将神经网络应用于实时色域映射。利用神经网络的学习能力,训练神经网络有效地处理色域映射的高度非线性。并给出了神经网络的实时硬件结构。仿真结果表明了该方法的有效性。
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