DocumentCode :
1749200
Title :
A new approach of color quantization of image based on neural network
Author :
Wu, Yingqian ; Yang, Cuiping ; Wang, Tianzhen
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., China
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
973
Abstract :
In the paper, a new algorithm using a competitive Hopfield neural network for color quantization is proposed, and it completes two tasks of color palette design and pixels color mapping based on the pixel color value distribution. Results of the experiment show that the approach has the advantages of fast convergent speed and high quantization
Keywords :
Hopfield neural nets; convergence; image colour analysis; minimisation; quantisation (signal); unsupervised learning; Hopfield neural network; color palette; color quantization; competitive neural network; convergence; minimisation; pixel color value distribution; pixels color mapping; winner takes all learning; Algorithm design and analysis; Color; Hopfield neural networks; Image converters; Image processing; Neural networks; Paper technology; Pattern recognition; Pixel; Quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-7044-9
Type :
conf
DOI :
10.1109/IJCNN.2001.939492
Filename :
939492
Link To Document :
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