彩色图像灰度化算法综述
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  • 英文篇名:Survey on decolorization methods
  • 作者:顾梅花 ; 苏彬彬 ; 王苗苗 ; 王志磊
  • 英文作者:Gu Meihua;Su Binbin;Wang Miaomiao;Wang Zhilei;School of Electronics & Information,Xi'an Polytechnic University;
  • 关键词:彩色图像灰度化 ; 全局映射法 ; 局部映射法 ; 混合法 ; 定性 ; 定量
  • 英文关键词:decolorization;;global mapping methods;;local mapping methods;;hybrid methods;;qualitative;;quantitative
  • 中文刊名:JSYJ
  • 英文刊名:Application Research of Computers
  • 机构:西安工程大学电子信息学院;
  • 出版日期:2018-04-27 16:52
  • 出版单位:计算机应用研究
  • 年:2019
  • 期:v.36;No.331
  • 基金:陕西省教育厅科学研究项目(16JK1329);; 全国统计科学研究计划重点项目(2014LZ06)
  • 语种:中文;
  • 页:JSYJ201905003
  • 页数:7
  • CN:05
  • ISSN:51-1196/TP
  • 分类号:12-18
摘要
针对2005年之后的多种主流灰度化方法进行研究,根据是否对所有像素使用相同映射函数将其分为全局映射法、局部映射法及混合法,介绍每类方法所包含的典型算法的基本思想、实现步骤及优缺点。最后用定性和定量两种评价方法对各种主要算法的实验结果和性能进行对比分析,进一步提出存在的问题及下一步研究方向,为今后的彩色图像灰度化研究提供参考和借鉴。
        This paper provided a thorough review of the state-of-art methods of decolorization after 2005,dividing them into global mapping methods,local mapping methods and hybrid methods according to whether all pixels using the same mapping function. The basic idea,implementation steps,strengths and limitations of typical algorithms of each type were introduced afterwards. Finally,after analyzing the qualitative and quantitative evaluation of given methods,this paper proposed the existing problems and next research direction,which provided constructive reference for the further research of decolorization.
引文
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