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利用辅助顶点构建从粗到细的凸包用于基于调色板的图像重着色

Building Coarse to Fine Convex Hulls With Auxiliary Vertices for Palette-Based Image Recoloring.

作者信息

Sun Qiwei, Nie Yongwei, Zhang Qing, Li Guiqing

出版信息

IEEE Trans Vis Comput Graph. 2024 Aug;30(8):5581-5595. doi: 10.1109/TVCG.2023.3296386. Epub 2024 Jul 1.

Abstract

Constructing a convex hull for the pixel colors of an image by viewing them as 3D points can extract a set of palette colors for the image, then image recoloring can be achieved by modifying the palette colors. For better recoloring effect, the convex hull should contain more pixels (inclusive) and be more compact. Otherwise, reconstruction error would occur or the extracted palette color would be less representative, yielding wrong recoloring results or less effective edit. We observe that convex hulls constructed by prior methods can contain all the image pixels, but are far from compact. Efforts have been made to optimize the vertices of convex hull to increase the compactness but are still not perfect. In this paper, we propose a novel coarse to fine convex hull construction scheme with auxiliary vertices. We start by constructing a coarse convex hull whose vertices are directly image pixels which is thus the most compact but cannot contain all pixels. We then make a remedy by adding auxiliary vertices into the coarse convex hull to obtain a fine convex hull. More auxiliary vertices are added, more image pixels will be contained into the fine convex hull. The auxiliary vertices are image pixels too so that the compactness can still be maintained. During editing, the auxiliary vertices are not allowed to be edited for edit convenience, but deformed as-rigid-as-possible with the adjusting of other vertices. Our convex hull is both inclusive and compact. Extensive experiments validate the effectiveness of the proposed method.

摘要

通过将图像的像素颜色视为三维点来构建凸包,可以为图像提取一组调色板颜色,然后通过修改调色板颜色来实现图像重新着色。为了获得更好的重新着色效果,凸包应包含更多像素(包括在内)并且更加紧凑。否则,会出现重建误差或提取的调色板颜色代表性不足,从而产生错误的重新着色结果或编辑效果不佳。我们观察到,先前方法构建的凸包可以包含所有图像像素,但远不够紧凑。人们已努力优化凸包的顶点以提高紧凑性,但仍不完善。在本文中,我们提出了一种带有辅助顶点的新颖的从粗到细的凸包构建方案。我们首先构建一个粗凸包,其顶点直接是图像像素,因此是最紧凑的,但不能包含所有像素。然后,我们通过向粗凸包中添加辅助顶点来进行补救,以获得一个细凸包。添加的辅助顶点越多,细凸包中包含的图像像素就越多。辅助顶点也是图像像素,因此仍然可以保持紧凑性。在编辑过程中,为了方便编辑,辅助顶点不允许被编辑,但会随着其他顶点的调整而尽可能刚性地变形。我们的凸包既具有包容性又紧凑。大量实验验证了所提方法的有效性。

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