Laser & Optoelectronics Progress, Volume. 47, Issue 5, 51003(2010)
Self-Adpative Multi-Sensor Image Fusion Using Curvelet Transform
A new self-adaptive multi-sensor image fusion algorithm based on Curvelet transform is proposed. Full-color and multispectral images are decomposed and transformed using the algorithm,and different fusion rules are selected according to different frequency characteristics. Self-adpative regional energy coefficients fusion rule and regional feature self-adaptive fusion rule are selected for low- and high-frequency coefficients. The final fusion image is obtained by reconstruction. Compared with other fusion algorithms this algorithm is a feasible and effective image fusion algorithm.
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Gao Bin, He Tongdi. Self-Adpative Multi-Sensor Image Fusion Using Curvelet Transform[J]. Laser & Optoelectronics Progress, 2010, 47(5): 51003
Category: Image Processing
Received: Jun. 29, 2009
Accepted: --
Published Online: Apr. 19, 2010
The Author Email: Bin Gao (ggy200026@126.com)