DocumentCode :
3589511
Title :
Fusion of visible image and infrared image based on Contourlet transform and improved spatial frequence
Author :
Liao Jiawen ; Huang Jijiang ; Wang Zefeng ; Wang Huawei ; Yang Lei ; Yi Bo ; Ren Long
Author_Institution :
Xi´an Inst. of Opt. & Precious Mech., Xi´an, China
fYear :
2014
Firstpage :
322
Lastpage :
325
Abstract :
Pointing at the defect of Space Frequency Algorithm in abstracting detail information used in Regional Feature Self-Adaptive Image Fusion Algorithm, an improved Spatial Frequency Algorithm is proposed. Firstly, the histogram specification is used to adjust pixel values of the infrared image. Secondly, the multi-scale decomposition is performed on visible image and the adjusted infrared image using Contourlet transform. Finally, low-frequency sub-band is fused using a rule based on Regional Energy rather than the simple weighted sum method. Other sub-bands are fused using the Improve Spatial Frequency rule. The experimental results show that the proposed method preserves more details of the visible image and obtains clear target information in the infrared image. A better effect is achieved compared to the reference article.
Keywords :
feature extraction; image fusion; infrared imaging; contourlet transform; histogram specification; infrared image fusion; multi-scale decomposition; regional energy; regional feature self-adaptive image fusion algorithm; space frequency algorithm; spatial frequency algorithm; target information; visible image fusion; weighted sum method; Filter banks; Histograms; Image fusion; Laplace equations; Standards; Transforms; Contourlet transform; histogram specification; image fusion; improved spatial frequency; infrared image; regional energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Electronic Commerce (ICITEC), 2014 2nd International Conference on
Print_ISBN :
978-1-4799-5298-4
Type :
conf
DOI :
10.1109/ICITEC.2014.7105626
Filename :
7105626
Link To Document :
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