Spatial gamut mapping among non-inclusive gamuts
Spatial gamut mapping among non-inclusive gamuts
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DOI：
10.1016/j.jvcir.2018.05.012
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发表时间：
2018-07-01
影响因子：
2.6
通讯作者：
Bertalmio, Marcelo
中科院分区：
文献类型：
--
作者：
Vazquez-Corral, Javier;Bertalmio, Marcelo
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：色域缩小（目标色域小于源色域）和色域扩展（目标色域大于源色域）。较少的注意力是致力于更一般的情况下，当两个色域是完全包括在其他。在这项工作中，我们统一和扩展两个最近的色域扩展和减少的方法，以便同时执行两种形式的色域映射在同一图像的不同区域，而不引入颜色伪影或光晕。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来适应图像的调色板，使其更接近给定的参考图像。结果进行了比较，与国家的最先进的，并通过用户测试和客观的指标进行验证。
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.