DocumentCode :
1797899
Title :
Visible and infrared image fusion based on Curvelet transform
Author :
Siji Quan ; Weiping Qian ; Junhai Guo ; Hua Zhao
Author_Institution :
Beijing Inst. of Tracking & Telecommun. Technol., Beijing, China
fYear :
2014
fDate :
15-17 Nov. 2014
Firstpage :
828
Lastpage :
832
Abstract :
Infrared detection is significant in many fields, and sometimes infrared images are used to cover the shortcomings of visible images. Then image fusion between visible and infrared image is important in practical use. In this paper, we introduce Curvelet transform and its implementation to decompose images to different resolutions, and standard fusion rules are built to integrate information from both images. This algorithm is carried out on a set of standard image set, and is compared to a traditional method. It proves that this fusion algorithm based on Curvelet transform is effective enough to accomplish visible and infrared image fusion. Image preprocessing is mentioned but not discussed in detail.
Keywords :
curvelet transforms; image fusion; image resolution; infrared imaging; curvelet transform; image decomposition; image resolutions; infrared detection; infrared image fusion; infrared images; standard fusion rules; standard image set; visible image fusion; Algorithm design and analysis; Educational institutions; Gray-scale; Image fusion; Image resolution; Standards; Transforms; curvelet tranform; fusion rules; image fusion; infrared image; visible image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Informatics (ICSAI), 2014 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-5457-5
Type :
conf
DOI :
10.1109/ICSAI.2014.7009399
Filename :
7009399
Link To Document :
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