DocumentCode
1726873
Title
Adaptive Enhancement Algorithm of Color Image Based on Improved PCNN
Author
Dengchao, Feng ; Zhaoxuan, Yang ; Zengmin, Wang
Author_Institution
Tianjin Univ., Tianjin
fYear
2007
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICEMI.2007.4350812
Filename
4350812
Link To Document