计算机科学 ›› 2019, Vol. 46 ›› Issue (6A): 259-262.
徐敏敏1, 寇光杰1, 马云艳2, 岳峻1, 贾世祥1, 张志旺1
XU Min-min1, KOU Guang-jie1, MA Yun-yan2, YUE Jun1, JIA Shi-xiang1, ZHANG Zhi-wang1
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。
中图分类号:
[1]JOHNSON J L,PADGETT M L.PCNN models and applications [J].IEEE Transactions on Neural Networks,1999,10(3):480-498. [2]寇光杰,马云艳,岳峻,等.一种基于视皮层神经元模型的彩色图像签名算法[J].计算机科学,2015,42(S2):189-191. [3]ZHAN K,TENG J,MA Y.Spiking cortical model for rotation and scale invariant texture retrieval [J].Journal of Information Hiding and Multimedia Signal Processing,2013,4(3):155-165. [4]马义德,李廉,绽琨,等.脉冲耦合神经网与数字图像处理[M].北京:科学出版社,2008. [5]GUO Y,YANG Z,MA Y,et al.Saliency Motivated improved simplified PCNN model for object segmentation [J].Neurocomputing,2018,275(31):2179-2190. [6]DENG X,MA Y.PCNN Model Analysis and its automatic parameters determination in image segmentation and edge detection [J].Chinese Journal of Electronics,2014,23(1):97-103. [7]WANG Z,MA Y,CHENG F,et al.Review article:Review of pulse-coupled neural networks [J].Image & Vision Computing,2010,28(1):5-13. [8]ZHAN K,SHI J,WANG H,et al.Computational mechanisms of pulse coupled neural networks:A Comprehensive Review[J].Archives of Computational Methods in Engineering,2017,24(3):573-588. [9]ZHAN K,SHI J H,TENG J C,et al.Linking synaptic computation for image enhancement [J].Neurocomputing,2017,238(17):1-12. [10]张煜东,王水花,周振宇,等.基于HVS与PCNN的彩色图像增强[J].中国科学:信息科学,2010,36(7):909-924. [11]马义德,滕飞,绽琨,等.一种采用 SCM 模型的彩色图像增强方法[J].北京邮电大学学报,2012,35(3):70-73. |
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