Color Quantization Based on Gaussian Mixture Mode
Abstract Color quantization is an important technique for image analysis that reduces the number of distinct colors for a color image. A novel color image quantization algorithm based on Gaussian mixture model is proposed. In the approach, we develop a Gaussian mixture model to design the color palette. Each component in the GMM represents a type of color in the color palette. The task of color quantization is to group pixels into different component. Experimental results show that our quantization method can obtain better results than other methods.
color quantization color space Gaussian mixture model Expectation-Maximization
Jin Qiu-chun Tong Xiao-li
Zhengzhou Institute of Aeronautical Industry Management Zhengzhou, China Zhengzhou Institute of Aeronautical Industry ManagementZhengzhou, China
国际会议
哈尔滨
英文
243-245
2011-01-18(万方平台首次上网日期,不代表论文的发表时间)