计算机科学 ›› 2019, Vol. 46 ›› Issue (6A): 259-262.

• 模式识别与图像处理 • 上一篇    下一篇

基于PCNN内部活动项的彩色图像增强算法

徐敏敏1, 寇光杰1, 马云艳2, 岳峻1, 贾世祥1, 张志旺1   

  1. 鲁东大学信息与电气工程学院 山东 烟台2640251;
    鲁东大学数学与统计学院 山东 烟台2640252
  • 出版日期:2019-06-14 发布日期:2019-07-02
  • 通讯作者: 徐敏敏 女,主要研究方向为图像处理;寇光杰 男,博士,副教授,主要研究方向为图像处理及计算机视觉,E-mail:kouguangjie@126.com
  • 作者简介:马云艳 女,博士,主要研究方向为统计学习;岳 峻 女,博士,教授,主要研究方向为智能信息处理。
  • 基金资助:
    本文受国家自然科学基金项目(61472172,61100115,61771231),山东省自然科学基金面上项目(ZR2017MF062,ZR2017MF010)资助。

Color Image Enhancement Algorithm Based on PCNN Internal Activities

XU Min-min1, KOU Guang-jie1, MA Yun-yan2, YUE Jun1, JIA Shi-xiang1, ZHANG Zhi-wang1   

  1. School of Information and Electrical Engineering,Ludong University,Yantai,Shandong 264025,China1;
    School of Mathematics and Statistics,Ludong University,Yantai,Shandong 264025,China2
  • Online:2019-06-14 Published:2019-07-02

摘要: 脉冲耦合神经网络(PCNN)是一种受哺乳动物视觉神经系统启发而提出的新型单层神经网络,具有生物学依据,因而在图像处理领域具有天然优势。通过对PCNN工作过程的分析和工作原理的研究,发现PCNN内部活动项本身对原始图像就具有明显的增强作用,将其与基于人眼视觉的亮度调节算法相结合,提出了一种自适应调节亮度的彩色图像增强算法。与目前常见图像增强算法相比,无论从定性还是定量角度来看,所提算法都取得了很好的效果,并且代码更简洁,运行更高效。

关键词: PCNN, PCNN内部活动项, 视皮层神经元, 图像增强

Abstract: Pulse coupled neural network (PCNN) is a new neural network inspired by the working principle of mammalian visual nervous system which has biological characteristics,so it has great superiority in digital image processing.After analyzing the operating principle and studyingaction mechanism of PCNN,it is found that the internal activity of PCNN itself has obvious enhancement effect on the original image.Combining it with the brightness adjustment algorithm based on human vision,this paper proposed an improved color image enhancement algorithm.Compared with the current common image enhancement algorithms,the proposed algorithm has great effectiveness in both subjective and objective evaluation from the experimental results,and the algorithm's code is more concise and more efficient.

Key words: Image enhancement, Internal activity of PCNN, PCNN, Visual cortex neuron

中图分类号: 

  • TP391
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