DocumentCode :
2004222
Title :
Multi-sensor image fusion using the wavelet transform
Author :
Li, Hui ; Manjunath, B.S. ; Mitra, Sanjit K.
Author_Institution :
HNC Software Inc., San Diego, CA, USA
Volume :
1
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
51
Abstract :
In the image fusion scheme presented in this paper, the wavelet transforms of the input images are appropriately combined, and the new image is obtained by taking the inverse wavelet transform of the fused wavelet coefficients. An area-based maximum selection rule and a consistency verification step are used for feature selection. A performance measure using specially generated test images is also suggested
Keywords :
image processing; sensor fusion; wavelet transforms; area-based maximum selection rule; consistency verification step; feature selection; fused wavelet coefficients; input images; inverse wavelet transform; multi-sensor image fusion; performance measure; test images; wavelet transform; Fusion power generation; Image fusion; Image generation; Image recognition; Laplace equations; Pixel; Sensor fusion; Target recognition; Wavelet coefficients; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413273
Filename :
413273
Link To Document :
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