Title :
Adaptive Enhancement Algorithm of Color Image Based on Improved PCNN
Author :
Dengchao, Feng ; Zhaoxuan, Yang ; Zengmin, Wang
Author_Institution :
Tianjin Univ., Tianjin
Abstract :
Considering the disadvantage of enhancement method of traditional color image, an adaptive enhancement algorithm based on improved PCNN is proposed. On the basis of the traditional PCNN, the optimization strategy is designed to reduce the subjectivity of the selection of parameters in PCNN. Then the improved PCNN is used to realize the enhancement of color image. Simulation experiment shows the effectiveness of the algorithm.
Keywords :
image colour analysis; image enhancement; neural nets; optimisation; PCNN; adaptive enhancement algorithm; color image; optimization strategy; pulse coupled neural network;; Ant colony optimization; Biological system modeling; Color; Genetic algorithms; Image enhancement; Image processing; Instruments; Neural networks; Neurons; Pulse measurements; ant colony algorithm; image enhancement; pheromone; pulse coupled neural network;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4350812
