Extended RGB2Gray conversion model for efficient contrast preserving decolorization
作者: Qiegen LiuJiaojiao XiongLi ZhuMinghui ZhangYuhao Wang
作者单位: 1Nanchang University
2University of Illinois at Urbana Champaign
刊名: Multimedia Tools and Applications, 2017, Vol.76 (12), pp.14055-14074
来源数据库: Springer Nature Journal
DOI: 10.1007/s11042-016-3748-9
关键词: Color-to-gray conversionExtended RGB2GRAY conversion modelGradient correlation similarityThe linear parametric modelDiscrete searching
原始语种摘要: The RGB2GRAY conversion model is the classical and most popularly used tool for image decolorization. Recent researches have validated that optimally selecting the three weighting parameters in this first-order linear model has great potential to improve its conversion ability. A question is naturally raised that extending the parameter range will count for further improvement? In this paper, we present a simple yet efficient strategy to extend the parameter range for achieving such goal. In the extended model, the parameter range is extended to be [−1, 1] and the sum of three parameters is still constrained to be 1. A discrete searching solver is proposed by determining the solution with the minimum function value from the linear parametric model induced candidate images. Among the...
全文获取路径: Springer Nature  (合作)
影响因子:1.014 (2012)

  • efficient 有用的
  • RGB 红绿蓝
  • preserving 保藏
  • model 模型
  • parametric 子宫旁的
  • conversion 转换
  • searching 勘探
  • parameter 参数
  • demonstrate 说明
  • similarity 相似性