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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1260047