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
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