An efficient color quantization based on generic roughness measure
作者：
Highlights：
• Propose an efficient two-stage color quantization framework.
• Apply the quantization in a precisely compressed color space.
• Propose the generic roughness measure for precise color space compression.
• Propose the algorithms of roughness thresholding and weighted rough K-means.
• Experimental results validate the high efficiency of the proposed method.
摘要
Highlights•Propose an efficient two-stage color quantization framework.•Apply the quantization in a precisely compressed color space.•Propose the generic roughness measure for precise color space compression.•Propose the algorithms of roughness thresholding and weighted rough K-means.•Experimental results validate the high efficiency of the proposed method.
论文关键词：Color quantization,Generic roughness measure,Thresholding,Clustering
论文评审过程：Received 4 August 2012, Revised 6 October 2013, Accepted 15 November 2013, Available online 25 November 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.11.017
