A color quantization method preserving infrequent salient colors and its implementation on mobile devices
A color quantization method preserving infrequent salient colors and its implementation on mobile devices
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DOI：
10.1117/12.2521607
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发表时间：
2019-03
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影响因子：
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通讯作者：
Yukiya Fukuda;Hideaki Misawa;H. Tamukoh;R. Kubota;B. Cha;T. Aso
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文献类型：
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作者：
Yukiya Fukuda;Hideaki Misawa;H. Tamukoh;R. Kubota;B. Cha;T. Aso
在本文中，我们提出了一种新的颜色量化方法，可以保持不常见的显着颜色的原始图像。不常见的显著颜色意味着它们不是全局主导的，而是局部主导的，并且对于保持原始图像的印象很重要。在该方法中，颜色量化是通过k-均值聚类实现的，并且用于聚类的输入数据集基于局部量化误差自适应地重复修改，以保留不频繁的显著颜色。所提出的方法被实现为Android应用程序，以验证所提出的方法在移动的设备上使用的可行性。
In this paper, we propose a new color quantization method that can preserve infrequent salient colors of an original image. The infrequent salient colors mean that they are not dominant globally, but are dominant locally and are important to keep the impression of the original image. In the proposed method, color quantization is realized by k-means clustering and an input dataset for the clustering are adaptively and repeatedly modified based on local quantization errors to preserve the infrequent salient colors. The proposed method is implemented as an Android application to verify the feasibility of the use of the proposed method on mobile devices.