Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (33): 86-88.

• 学术探讨 • Previous Articles     Next Articles

Improved algorithm of color image quantization with fast and high quality

CHEN Wei-dong1,ZHANG Qiang2,YANG Li1   

  1. 1.College of Information Science & Engineering,Henan University of Technology,Zhengzhou 450001,China
    2.Teaching Administration,Henan University of Technology,Zhengzhou 450001,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-11-21 Published:2007-11-21
  • Contact: CHEN Wei-dong

一种改进的快速中位切割彩色图像量化算法

陈卫东1,张 强2,杨 丽1   

  1. 1.河南工业大学 信息科学与工程学院,郑州 450001
    2.河南工业大学 教务处,郑州 450001
  • 通讯作者: 陈卫东

Abstract: The main aim of color quantization is to find the best color palette with the least differences between the original image and the quantized one.This paper presents an improved method of median-cut algorithm.By enhancing the pre-quantization precision,computing cutting position based on variance and searching color-mapping reversely,the new algorithm has a significant promotion on the quantized speed and quality of color image.The experiments prove its effectiveness.

Key words: color quantization, median-cut, octree, neural network

摘要: 色彩量化的主要目标是选择一个使量化前后图像之间差异尽可能小的最佳调色板。通过对中位切割技术的研究,提出了一种改进的中位切割算法,采用提高预量化精度、利用方差计算切割位置以及反向查找颜色映射等方法,使彩色图像的色彩量化在速度和质量上都获得了较大提升,实验证明了该算法的有效性。

关键词: 色彩量化, 中位切割, 八叉树, 神经网络