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一种改进型增强图像处理算法研究与应用
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  • 英文篇名:Research and application of an improved enhanced image processing algorithm
  • 作者:刘洋 ; 余建华 ; 顾志芹 ; 陈先锋
  • 英文作者:LIU Yang;YU Jian-hua;GU Zhi-Qin;CHEN Xian-feng;Electrical Engineering Department of Wuhan Electric Technology College;Huazhong University of Science and Technology Library;Resources and Environment College of Wuhan University of Technology;
  • 关键词:图像增强 ; 包边 ; 位置权重 ; 灰度权重
  • 英文关键词:image enhancement;;edge wrapping;;position weight;;gray weight
  • 中文刊名:JGHW
  • 英文刊名:Laser & Infrared
  • 机构:武汉电力职业技术学院电力工程系;华中科技大学图书馆;武汉理工大学资源与环境工程学院;
  • 出版日期:2019-03-20
  • 出版单位:激光与红外
  • 年:2019
  • 期:v.49;No.486
  • 基金:国家重点研发计划项目(No.2016YFC0802801);; 国家自然科学基金项目(No.51774221)资助
  • 语种:中文;
  • 页:JGHW201903020
  • 页数:4
  • CN:03
  • ISSN:11-2436/TN
  • 分类号:127-130
摘要
常规的基于高斯或拉普拉斯模板的锐化或增强算法应用中,都会出现包边的现象,即在与邻域有强烈对比的目标上会出现明显的暗或亮包边问题。常规方法未对该现象进行处理,导致部分场景目标存在明显的包边现象。基于常规算法产生的包边问题的原因分析,发现主要是在获取高频图像信息时,采用高斯或拉普拉斯这种基于位置差异计算权重的方式导致;因此在进行获取高频细节时,通过增加以灰度差值来调整权重方式来获取细节,或采用更简单的高频细节截止的处理方式,可有效改善增强算法中的包边问题。
        Conventional sharpening or enhancement algorithms based on Gauss or Laplasse templates are discussed,while the hemming phenomenon exists usually with obviously dark or bright wrapping problems,contrasted with the adjacent images.By weights calculating based on positional differences with Gauss or Laplasse,conventional algorithm can cause image wrapping in high frequency image information.Therefore,in processing of high frequency details,the method is put forward by adding weights to adjust weights mode with gray scale differences or adopting simpler high frequency detail cut-off mode.Results show the edge-wrapping problem with enhancement algorithm is effectively improved.
引文
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