DocumentCode
2496748
Title
Image fusion scheme based on the biorthogonal wavelet transform
Author
Liu, Qingfeng ; Sheng, Guo-fang ; Leng, Zhao-xia
Author_Institution
Xi´´an Univ. of Technol., China
Volume
5
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
2864
Abstract
A novel pixel-level image fusion scheme is presented based on the advantages of the wavelet transform. The wavelet transform is used to perform a multi-scale decomposition of each image. The multiple operators and rules are used in the different frequency regions at the different scales. The experimental results show that the fusion scheme is effective for different image data and the fused image are more suitable for human vision.
Keywords
image processing; sensor fusion; wavelet transforms; biorthogonal wavelet transform; frequency regions; human vision; image data; multiscale decomposition; pixel level image fusion; Arithmetic; Biomedical imaging; Feature extraction; Filters; Frequency; Humans; Image fusion; Image reconstruction; Pixel; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1260047
Filename
1260047
Link To Document