DocumentCode
2202301
Title
An Efficient Natural-Looking Color Fusion Method of Infrared and Visible Images
Author
Li, Guangxin ; Wang, Ke
Author_Institution
Coll. of Commun. Eng., Jilin Univ., Changchun
fYear
2006
fDate
14-17 Nov. 2006
Firstpage
1
Lastpage
4
Abstract
A novel contrast enhanced fusion (CEF) method is presented for merging infrared and color visible images. The method transforms the original RGB color visible image into a perceptually decorrelated color space in order to treat the achromatic and chromatic components separately. The achromatic component and infrared image are combined by a grayscale fusion scheme, and the original achromatic component is replaced by the grayscale fused image. Before the data are retransformed back into the RGB color space, the means and variances between the original achromatic component and the grayscale fused image are matched by a linear remapping. The remapping procedure can fairly enhance the contrast of the final color fused image. We used the CEF method to merge long wave infrared and color TV images. The experimental results show that the proposed method can effectively produce a high-contrast color fused image with the similar natural characteristics as the original color visible image
Keywords
decorrelation; image colour analysis; image enhancement; image fusion; image matching; infrared imaging; CEF; RGB; achromatic component; chromatic component; color visible image; contrast enhanced fusion method; grayscale fusion scheme; image matching; infrared image; linear remapping; natural characteristics; perceptually decorrelated color space; Color; Gray-scale; Humans; Image fusion; Image sensors; Infrared imaging; Layout; Optical fiber communication; Sensor fusion; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location
Hong Kong
Print_ISBN
1-4244-0548-3
Electronic_ISBN
1-4244-0549-1
Type
conf
DOI
10.1109/TENCON.2006.344004
Filename
4142310
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