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FUSION OF SURVEILLANCE IMAGES IN INFRARED AND VISIBLE BAND USING CURVELET, WAVELET AND WAVELET PACKET TRANSFORM

DSpace at IIT Bombay

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Title FUSION OF SURVEILLANCE IMAGES IN INFRARED AND VISIBLE BAND USING CURVELET, WAVELET AND WAVELET PACKET TRANSFORM
 
Creator SHAH, P
MERCHANT, SN
DESAI, UB
 
Subject algorithm
image fusion
ir
visible surveillance images
curvelet, wavelet
wavelet packet transform
 
Description This paper presents two methods for fusion of infrared (IR) and visible surveillance images. The first method combines Curvelet Transform (CT) with Discrete Wavelet Transform (DWT). As wavelets do not represent long edges well while curvelets are challenged with small features, our objective is to combine both to achieve better performance. The second approach uses Discrete Wavelet Packet Transform (DWPT), which provides multiresolution in high frequency band as well and hence helps in handling edges better. The performance of the proposed methods have been extensively tested for a number of multimodal surveillance images and compared with various existing transform domain fusion methods. Experimental results show that evaluation based on entropy, gradient, contrast etc., the criteria normally used, are not enough, as in some cases, these criteria are not consistent with the visual quality. It also demonstrates that the Petrovic and Xydeas image fusion metric is a more appropriate criterion for fusion of IR and visible images, as in all the tested fused images, visual quality agrees with the Petrovic and Xydeas metric evaluation. The analysis shows that there is significant increase in the quality of fused image, both visually and quantitatively. The major achievement of the proposed fusion methods is its reduced artifacts, one of the most desired feature for fusion used in surveillance applications.
 
Publisher WORLD SCIENTIFIC PUBL CO PTE LTD
 
Date 2011-09-02T00:49:31Z
2011-12-26T12:59:52Z
2011-12-27T05:52:54Z
2011-09-02T00:49:31Z
2011-12-26T12:59:52Z
2011-12-27T05:52:54Z
2010
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 8(2), 271-292
0219-6913
http://dx.doi.org/10.1142/S0219691310003444
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12915
http://hdl.handle.net/10054/12915
 
Language en