DocumentCode :
3159769
Title :
Wavelet enhanced fusion algorithm for multisensor images
Author :
Gao, Jingli ; Li, Bo ; Bao, Yidong ; Ma, Fei
Author_Institution :
Software Eng. Coll., Pingdingshan Univ., Pingdingshan, China
fYear :
2011
fDate :
16-18 April 2011
Firstpage :
5474
Lastpage :
5476
Abstract :
Due to the limitation of the image acquisition equipment itself and the constraints of taking environment and other factors, the resolution and contrast of the obtained images have declined, and some important information in the images was hidden in the acquisition process. Therefore, in order to get a richer picture, the source images must be enhanced prior to the integration, so as to access the hidden information. The proposed paper introduces the general integration scheme based on image enhancement, and presents a fusion method with the wavelet image enhancement technology. We first enhance the source images according to wavelet image enhancement technology, and then use the appropriate fusion rule to integrate the coefficients of the original images and the enhanced images. Experimental results show that the enhancement of the source images prior to integration, could improve the fusion effect and obtain the hidden information barely acquired through directly fusion without enhancement.
Keywords :
image enhancement; image fusion; wavelet transforms; image acquisition process; image enhancement; multisensor image; wavelet enhanced fusion algorithm; Entropy; Gray-scale; Image enhancement; Image fusion; Image resolution; Wavelet transforms; clarity; image enhancement; image fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
Type :
conf
DOI :
10.1109/CECNET.2011.5768826
Filename :
5768826
Link To Document :
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