Trcollage:高效的图像拼贴使用基于树的图层重新排序

Shiguang Liu, Xiaobing Wang, Ping Li, Jun-yong Noh
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引用次数: 1

摘要

本文提出了一种高效的图像拼贴方法,称为TrCollage,该方法使用基于树的图层重新排序,不仅考虑了拼贴处理的效率,而且考虑了最终拼贴效果的质量。此外,我们基于树的TrCollage也满足了移动技术快速发展的需求,这需要强大的解决方案来实现高效的图像拼贴,而无需计算密集型的处理,例如图形切割,显著性检测。实验结果证明了基于树的TrCollage算法的效率和有效性,并应用图层重排序实现了高质量的图像拼贴效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trcollage: Efficient Image Collage Using Tree-Based Layer Reordering
This paper proposes an efficient image collage approach called TrCollage using tree-based layer reordering, which takes into account not only the efficiency of the collage processing but also the quality of the final collage effects. Besides, our tree-based TrCollage also meets the enhanced demands from the rapid development of mobile technology, which call for robust solutions for efficient picture collage without computation-intensive processing, e.g. graph-cut, saliency detection. The experimental results have shown the efficiency and effectiveness of our tree-based TrCollage with high-quality image collage effects applying layer reordering.
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