›› 2012, Vol. ›› Issue (03): 738-742.

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Fusion of visible and infrared images based on multi-scale image enhancement

SUN Ming-chao1,2, ZHANG Chong3, LIU Jing-hong1   

  1. 1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
    2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China;
    3. Military Representative Office Stationed in Changchun Area by Shenyang Military Respresentative Bureau, General Armament Department, Changchun 130033, China
  • Received:2011-03-05 Online:2012-05-01

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Abstract: Images of the same scene, respectively obtained from visible and infrared sensors, are different in the high-frequency details. Based on this character, first, wavelet transform is imposed on the infrared image and visible light image that are in register, and the edges of the two images are extracted under multi-scale. Second, local module square and its ratio are respectively considered as the activity measure and match measure, and the image edge feature is considered as fusion strategy. The fusion image is obtained through synthesis module and multi-scale inverse transform. Finally, the fusion image is enhanced and assessed. Under the wavelet domain, image edge extraction, image enhancement and image fusion are combined. Experimental results show that high quality visible and infrared images are obtained under the objective evaluation criteria in the absence of standard reference image.

Key words: information processing technology, multi-scale transformation, image fusion, edge detection, image enhancement

CLC Number: 

  • TN911.73
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