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首页> 外文会议>TAGA 51st Annual Conference, May 2-5, 1999, Vancouver, British Columbia >Gamut Mapping for Pictorial Images
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Gamut Mapping for Pictorial Images

机译：图形图像的色域映射

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摘要

A psychophysical evaluation was performed to test the quality of several color gamut mapping algorithms. The task was to determine which mapping strategy produced the best matches to the original image. Observer preference was not considered. The algorithms consisted of both device-'dependent and image-dependent mappings. Three types of lightness scaling functions (linear compression, chroma weighted linear compression, and image-dependent sigmoidal compression) and four types of chromatic mapping functions were tested (linear compression, knee-point compression, "sigmoid-like" compression, and clipping). The source and destination devices considered were a monitor and a plain-paper inkjet printer respectively. The results showed that, for all of the images tested, the algorithms that used image-dependent sigmoidal lightness remapping functions produced superior matches to those that utilized linear lightness scaling. In addition, the results support using chromatic compression functions that were closely related to chromatic clipping functions.
机译：进行了心理物理评估，以测试几种色域映射算法的质量。任务是确定哪种制图策略可以产生与原始图像最匹配的图像。没有考虑观察者的偏好。该算法包括与设备有关的映射和与图像有关的映射。测试了三种类型的亮度缩放函数（线性压缩，色度加权线性压缩和图像相关的S形压缩）和四种类型的色度映射函数（线性压缩，拐点压缩，“类似于S形”压缩和剪切） 。所考虑的源设备和目标设备分别是监视器和普通纸喷墨打印机。结果表明，对于所有测试图像，使用依赖于图像的S型亮度重新映射功能的算法与使用线性亮度缩放的算法相比具有更好的匹配性。此外，结果支持使用与色度削波功能密切相关的色度压缩功能。

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