DocumentCode
554025
Title
Using wavelet networks in image compression
Author
Weiwei Xiao ; Haiyan Liu
Author_Institution
Coll. of Sci., North China Univ. of Technol., Beijing, China
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
700
Lastpage
704
Abstract
At present, the combination of wavelet analysis and neural network is an active research area. This paper presents a method of image compression based on wavelet neural network. Wavelet network is the tight combination of wavelet decomposition and neural network, where wavelet basis function works as the activation function. Wavelet network is used to compress images in this paper, and the comparison between wavelet network and traditional neural network is presented here. The result shows that wavelet network method succeeded in improving performances and efficiency in image compression.
Keywords
data compression; feedforward neural nets; image coding; wavelet transforms; activation function; image compression; wavelet analysis; wavelet decomposition; wavelet neural network; Biological neural networks; Image coding; Neurons; Training; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022148
Filename
6022148
Link To Document