Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 259-262.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

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

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

CLC Number: 

  • TP391
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