DocumentCode :
3206027
Title :
A wavelet-based scene image fusion algorithm
Author :
Xishan, Huang ; Zhe, Chen
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., China
Volume :
1
fYear :
2002
fDate :
28-31 Oct. 2002
Firstpage :
602
Abstract :
A pixel level image fusion algorithm based on wavelet transform using multi fusion rules for merging scene images is proposed. The two source images are first decomposed using the discrete wavelet transform. Couples of high frequency details of wavelet coefficients are then merged according to the salient features. Meanwhile the gross approximations of the images at the coarsest resolution level are combined together according to their similarity. The fused image is reconstructed by performing the inverse wavelet transform from the combined coefficients. Experimental results show that the proposed approach can eliminate the effect of the bad weather conditions on the scene images.
Keywords :
discrete wavelet transforms; image enhancement; image matching; image reconstruction; image resolution; sensor fusion; bad weather conditions; coarsest resolution level; discrete wavelet transform; fused image reconstruction; gross approximations; high frequency details; inverse wavelet transform; multi fusion rules; pixel level image fusion algorithm; scene image merging; scene matching; similarity; source image decomposition; wavelet coefficients; Discrete wavelet transforms; Frequency; Image fusion; Image reconstruction; Image resolution; Layout; Pixel; Principal component analysis; Wavelet coefficients; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
Type :
conf
DOI :
10.1109/TENCON.2002.1181347
Filename :
1181347
Link To Document :
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