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
Link To Document :
بازگشت