DocumentCode :
3454728
Title :
A new color image fusion method for visible and infrared images
Author :
Sun, Fengmei ; Li, Shutao ; Yang, Bin
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha
fYear :
2007
fDate :
15-18 Dec. 2007
Firstpage :
2043
Lastpage :
2048
Abstract :
A novel color fusion method for visible and infrared (IR) images is presented in this paper. The visible image is fused with the original infrared image and the reverse polarity of infrared (IIR) image by a grayscale fusion scheme based on curvelet transformation, respectively. These two fused results are the red and blue space of the final fused image. And the linear combination result of the visible and IR image is assigned to the green channel of the final fused result. The fusion rules are consistent with human´s vision associations of warm red and cool blue. The experimental results show that the color fused image will maintain the high resolution and improve efficiently the discrimination between targets and the environment because of its colorful and natural color.
Keywords :
curvelet transforms; image colour analysis; image resolution; infrared imaging; color image fusion method; curvelet transformation; grayscale fusion scheme; image resolution; infrared images; visible images; Biomedical optical imaging; Color; Dictionaries; Fuses; Humans; Image fusion; Image resolution; Infrared detectors; Infrared imaging; Sensor fusion; IR image; Image fusion; color image; curvelet transform; sensor fusion; visible image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1761-2
Electronic_ISBN :
978-1-4244-1758-2
Type :
conf
DOI :
10.1109/ROBIO.2007.4522482
Filename :
4522482
Link To Document :
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