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Simplified Gamut Boundary Representation using Mesh Decimation

机译:使用网格抽取的简化色域边界表示

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摘要

Gamut boundary determination is an important step in device characterisation and colour gamut mapping. Many different algorithms for the determination of colour gamuts are proposed in the literature. They vary in accuracy, computational efficiency, and complexity of the resulting triangulated gamut surface. Recently, an algorithm called uniform segment visualization (USV) was developed. The gamut surfaces produced by the USV algorithm is more accurate than the ones produced by the the segment maxima algorithm, while at the same time, they are significantly simpler than the ones produced by the somewhat more accurate modified convex hull. In this paper, we propose a new method. First, an accurate gamut boundary is computed using the modified convex hull. The resulting surface is then simplified using an established mesh decimation technique. This results in surfaces that are significantly more accurate than the ones produced by the USV algorithm at a comparable complexity.
机译:色域边界确定是设备表征和色域映射中的重要步骤。在文献中提出了许多不同的用于确定色域的算法。它们在精度,计算效率和所得三角色域表面的复杂性方面各不相同。最近,开发了一种称为统一分段可视化(USV)的算法。 USV算法产生的色域曲面比线段最大值算法产生的色域曲面更精确,同时,它们比由精度更高的改进凸包产生的色域曲面简单得多。在本文中,我们提出了一种新方法。首先,使用修改后的凸包来计算准确的色域边界。然后使用已建立的网格抽取技术简化生成的表面。这样,在相当复杂的情况下,曲面比USV算法生成的曲面要精确得多。

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