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首页> 外文期刊>Computer Graphics Forum: Journal of the European Association for Computer Graphics >An Improved Geometric Approach for Palette-based Image Decomposition and Recoloring
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An Improved Geometric Approach for Palette-based Image Decomposition and Recoloring

机译：基于调色板的图像分解和重新定位的改进的几何方法

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摘要

Palette-based image decomposition has attracted increasing attention in recent years. A specific class of approaches have been proposed basing on the RGB-space geometry, which manage to construct convex hulls whose vertices act as palette colors. However, such palettes do not guarantee to have the representative colors which actually appear in the image, thus making it less intuitive and less predictable when editing palette colors to perform recoloring. Hence, we proposed an improved geometric approach to address this issue. We use a polyhedron, but not necessarily a convex hull, in the RGB space to represent the color palette. We then formulate the task of palette extraction as an optimization problem which could be solved in a few seconds. Our palette has a higher degree of representativeness and maintains a relatively similar level of accuracy compared with previous methods. For layer decomposition, we compute layer opacities via simple mean value coordinates, which could achieve instant feedbacks without precomputations. We have demonstrated our method for image recoloring on a variety of examples. In comparison with state-of-the-art works, our approach is generally more intuitive and efficient with fewer artifacts.
机译：基于调色板的图像分解近年来引起了不断的关注。已经提出了一种特定的方法，基于RGB空间几何形状，该方法可以构建其顶点充当调色板颜色的凸壳。然而，这种调色板不保证具有实际在图像中出现的代表颜色，从而在编辑调色板颜色以执行重新定位时，这使得它不太直观且更不可预测。因此，我们提出了一种改进的几何方法来解决这个问题。我们使用多面体，但不一定是一个凸船，在RGB空间中表示颜色调色板。然后，我们制定调色板的任务作为优化问题，这可以在几秒钟内解决。与以前的方法相比，我们的调色板具有更高程度的代表性，并保持了相对相似的准确度。对于层分解，我们通过简单的平均值坐标计算层透明度，这可以在没有预兆的情况下实现即时反馈。我们已经展示了我们在各种示例上进行图像重新定位的方法。与最先进的作品相比，我们的方法通常与较少的伪影较少更直观和有效。

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