DocumentCode :
518430
Title :
Image fusion method based on non-sampled lifting wavelet transforms
Author :
Zhiliang, Kang ; Lijia, Xu
Author_Institution :
Sch. of Inf. & Eng. Technol., Sichuan Agric. Univ., Ya´´an, China
Volume :
1
fYear :
2010
fDate :
16-18 April 2010
Abstract :
A new algorithm for multi-sensor image fusion is presented. Based on lifting wavelet transform, the non-sampled lifting wavelet transform with the trait of shift invariance can be obtained by equivalently shifting to the pumping values and interpolation of the lifting wavelet transform. The adaptive weighted average method based on neighborhood gradient is applied to fuse the low-frequency coefficients and the weighted method based on edge information is chosen in the course of fusing the high-frequency coefficients. Then the fusion image can be obtained through inverse non-sampled lifting wavelet transform. Applying the proposed method to multi-sensor image fusion, the experimental results show that the novel algorithm is better than previous ones, both in visual effect and objective evaluation criteria.
Keywords :
gradient methods; image fusion; wavelet transforms; adaptive weighted average method based; inverse nonsampled lifting wavelet transform; multisensor image fusion; neighborhood gradient; pumping values; Agricultural engineering; Agriculture; Discrete wavelet transforms; Fusion power generation; Image fusion; Image reconstruction; Signal processing; Wavelet analysis; Wavelet packets; Wavelet transforms; image fusion; multi-resolution analysis; multi-source images; non-sampled lifting wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
Type :
conf
DOI :
10.1109/ICCET.2010.5486181
Filename :
5486181
Link To Document :
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