DocumentCode :
3373688
Title :
Color image enhancement using evolutionary principles and the Retinex theory of color constancy
Author :
Munteanu, Cristian ; Rosa, Agostinho
Author_Institution :
Instituto Superior Tecnico, Lisbon, Portugal
fYear :
2001
fDate :
2001
Firstpage :
393
Lastpage :
402
Abstract :
The paper investigates the use of Evolutionary Computation (EC) to automate the process of color image enhancement, for a large category of color images taken with different illuminants. Our approach employs the model of Multi-Scale Retinex with Color Restoration (MSRCR) for which the parameters of the model are adapted to each given image with a Real-Coded Genetic Algorithm (GA). Results on a diverse set of images show the efficiency of our approach compared to other classical enhancement methods
Keywords :
genetic algorithms; image colour analysis; image enhancement; GA; MSRCR; Multi-Scale Retinex with Color Restoration; color constancy; evolutionary computation; genetic algorithm; image enhancement; real-coded genetic algorithm; Chromium; Color;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing XI, 2001. Proceedings of the 2001 IEEE Signal Processing Society Workshop
Conference_Location :
North Falmouth, MA
ISSN :
1089-3555
Print_ISBN :
0-7803-7196-8
Type :
conf
DOI :
10.1109/NNSP.2001.943143
Filename :
943143
Link To Document :
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