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Cross-Media Color Reproduction Using the Frequency-based Spatial Gamut Mapping Algorithm Based on Human Color Vision

机译:基于人类色彩视觉的基于频率的空间色域映射算法跨媒体色彩再现

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Due to the increasing globalization of printing industry, remoting proofing will become the inevitable development trend. Cross-media color reproduction will occur in different color gamuts using remote proofing technologies, which usually leads to the problem of incompatible color gamut. In this paper, to achieve equivalent color reproduction between a monitor and a printer, a frequency-based spatial gamut mapping algorithm is proposed for decreasing the loss of visual color information. The design of algorithm is based on the contrast sensitivity functions (CSF), which exploited CSF spatial filter to preserve luminance of the high spatial frequencies and chrominance of the low frequencies. First we show a general framework for how to apply CSF spatial filter in retention of relevant visual information. Then we compare the proposed framework with HPMINDE, CUSP, Bala's algorithm. The psychophysical experimental results indicated the good performance of the proposed algorithm.
机译:随着印刷业全球化的日益发展,远程打样将成为必然的发展趋势。使用远程校对技术,跨媒体的色彩再现将在不同的色域中发生,这通常会导致色域不兼容的问题。在本文中,为了实现监视器和打印机之间相等的色彩再现,提出了一种基于频率的空间色域映射算法,以减少视觉色彩信息的损失。该算法的设计基于对比敏感度函数(CSF),该函数利用CSF空间滤波器来保留高空间频率的亮度和低频的色度。首先,我们展示了一个通用框架,该框架介绍了如何在保留相关视觉信息时应用CSF空间过滤器。然后,我们将提出的框架与HPMINDE,CUSP和Bala算法进行比较。心理物理实验结果表明了该算法的良好性能。

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