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Spatial gamut mapping among non-inclusive gamuts

机译:非包容性色域之间的空间色域映射

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摘要

Gamut mapping transforms the color gamut of an image to that of a target device. UTwo cases are usually considered: gamut reduction (target gamut smaller than source gamut), and gamut extension (target gamut larger than the source gamut). Less attention is devoted to the more general case, when neither gamut is fully included in the other. In this work we unify and expand two recent methods for gamut extension and reduction, so as to simultaneously perform both forms of gamut mapping in different regions of the same image without introducing color artifacts or halos. We demonstrate the usefulness of this approach for the traditional gamut mapping problem, and also how the proposed method can be used to adapt the color palette of an image so that it is closer to that of a given reference image. Results are compared with the state-of-the-art and validated through user tests and objective metrics.
机译:色域映射将图像的色域转换为目标设备的色域。通常考虑两种情况:色域缩减(目标色域小于源色域)和色域扩展(目标色域大于源色域)。当两种色域都未完全包含在另一种色域中时,将较少的注意力放在更一般的情况上。在这项工作中,我们统一并扩展了两种新的色域扩展和缩小方法,以便在同一图像的不同区域中同时执行两种形式的色域映射,而不会引入色差或光晕。我们证明了这种方法对传统色域映射问题的有用性,以及所提出的方法如何可以用于调整图像的调色板,使其更接近给定参考图像的调色板。将结果与最新技术进行比较,并通过用户测试和客观指标进行验证。

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