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Proceedings Paper

Improving spatial resolution of infrared images by means of sensor fusion
Author(s): Jun Li; Yunlong Sheng
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Paper Abstract

This paper presents a cooperative hierarchical fusion scheme based on `d trous' wavelet transformation for the fusion of infrared and visible images. At first, the restoration algorithm of multi-frames is presented to filter image noise and to improve the detail information of the infrared image. Then both the infrared and the visible images are decomposed to multilayer wavelet planes, respectively. A hierarchical merging is used for feature selection of wavelet planes by taking the weighted average at each scale. Lastly, the inverse wavelet transformation is implemented from the approximation data of the infrared image and the fused wavelet coefficients at various scales. One visible and three-frame infrared images are used to test the performance of the proposed scheme. Experimental results show that the spatial resolution improvement of the infrared image can be cooperatively achieved by multi-frame image restoration and sensor fusion. The advantage of the proposed cooperative merging algorithm is that the salient detail information from both visible and infrared images is preserved. No artifacts such as the blocking effect exist in the merged result. Moreover, the proposed method allows use of a dyadic wavelet to merge different sensor data of nondyadic resolution in a simple and efficient approach.

Paper Details

Date Published: 17 July 2000
PDF: 8 pages
Proc. SPIE 4044, Hybrid Image and Signal Processing VII, (17 July 2000); doi: 10.1117/12.391917
Show Author Affiliations
Jun Li, Univ. Laval (Canada)
Yunlong Sheng, Univ. Laval (Canada)


Published in SPIE Proceedings Vol. 4044:
Hybrid Image and Signal Processing VII
David P. Casasent; Andrew G. Tescher, Editor(s)

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