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一种新的RGB色差度量公式 被引量:19

A new color difference formula in RGB color space
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摘要 从RGB颜色空间入手,在对现有的几种RGB色差度量公式分析对比的基础上,总结出RGB颜色色差的3个基本规律,提出颜色分量的重要程度这一概念。并根据颜色分量的重要程度用动态系数调整RGB颜色间的空间距离和矢量角度值,从而得到了一种全新的RGB颜色空间的色差度量公式。通过高复杂度图像的颜色量化实验证明该色差公式在颜色量化中的性能优于目前使用较为广泛的几种RGB色差度量公式。 Based on the study of RGB(red-green-blue) color space and the comparison and analysis of several color difference formulas in RGB color space,this paper summarized three rules of color difference in RGB color space and proposed the conception of the importance of the color component.A new color difference formula in RGB color space was achieved by dynamically adjusting the vector distance and angular between a pair of RGB colors.The dynamic coefficient was weighted by the importance of color component.Color...
出处 《计算机应用》 CSCD 北大核心 2009年第2期465-467,共3页 journal of Computer Applications
基金 国家自然科学基金资助项目(60807035)
关键词 颜色量化 色差 颜色空间 颜色分量 动态聚类 color quantization color difference color space color component dynamic clustering
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  • 1郭新平.真彩色数字图像在VGA上的显示[J].微计算机应用,1993,14(3):12-15. 被引量:8
  • 2薛滨,龚亚明.采用聚类方法对彩色图象进行色彩压缩[J].计算机应用,1994,14(2):42-44. 被引量:11
  • 3[1]Hyafil L, Rivest R L. Construction optimal binary decision trees in NP-complete[J]. Information Processing Letters, 1976,5:15~17
  • 4[2]Heckbert P. Color image quantization for frame buffer display[J]. Computer Graphics, 1982, 16(3):297~303
  • 5[3]Wan S, Wong S, Prusinkiewicz P. An algorithm for multidimensional and data clustering[J]. ACM Transactions on Mathematics Software, 1988,14(2):153~162
  • 6[4]Wu Xiaolin. Color quantization by dynamic programming and principle analysis[J]. ACM Transactions on Graphics, 1992, 11(4):348~372
  • 7[5]A Glassner. Graphics Gems[M]. New York: Academic Press, 1990.287~293
  • 8[6]Oleg A Verevka, John W Buchanan. Local K-means algorithm for color image quantization[A]. In: Proceedings of Graphics Interface'95, Quebec, 1995.128~135
  • 9[7]Luiz Velho, Jones Gomes, Marcos Vinicius Rayol Sobreiro. Visualization of color image quantization using pairwise clustering[A]. In: Proceedings of the 14th Annual Symposium on Computational Geometry, Minneapolis, 1998. 407~408
  • 10[8]Bentley J L, Frieman J H. Data structure for range searching[J]. ACM Computer Surveys, 1979, 11(4):397~409

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