Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (1): 5-7.

• 博士论坛 • Previous Articles     Next Articles

PCNN’s application in real color image enhancement

HAN Lina1,2, GENG Guohua1, ZHOU Mingquan3   

  1. 1.Institute of Visualization Technology, Northwest University, Xi’an 710127, China
    2.Institute of Graphics and Image Processing, Xianyang Normal University, Xianyang, Shaanxi 712000, China
    3.School of Information Science and Technology, Beijing Normal University, Beijing 100875,
  • Received:1900-01-01 Revised:1900-01-01 Online:2012-01-01 Published:2012-01-01



  1. 1.西北大学 可视化技术研究所,西安 710127
    2.咸阳师范学院 图像处理研究所,陕西 咸阳 712000
    3.北京师范大学 信息科学与技术学院,北京 100875


Using gray image enhancement methods to enhance real color image can produce color deviation and bad visual effect. Therefore this paper presents the color image enhancement method which is based on PCNN model with characteristics of the human visual system more sensitive to the change of brightness in HSV space. It transforms the image from RGB space to HSV space and keeps the H and S channel unchanged. Pulse coupled neural network is used to process the V channel with illumination-reflectance model. Transforming the image to RGB space is executed. The experiment confirms that it can get a better result with color basic deviation, clear detail and better dynamic range using this method to enhance some images with low contrast, unclear details. The visual effect is greatly improved.

Key words: pulse coupled neural networks, real color image, image enhancement



关键词: 脉冲耦合神经网络, 真彩图像, 图像增强