A novel algorithm of image fusion using finite ridgelet transform

2006 ◽  
Author(s):  
Qiguang Miao ◽  
Baoshu Wang
2013 ◽  
Vol 347-350 ◽  
pp. 3872-3876
Author(s):  
Hong Li ◽  
Gao Feng Tang ◽  
Fen Xia Wu ◽  
Cong E Tan

A novel algorithm which is image fusion based on GPU is proposed. The fused rule is regional energy. In recent years, the power of the computing of GPU has been greatly improved, which results that using it for the general-purpose computing has a rapid development. The essay researches on implementing the oriental field algorithm on GPU, including selecting GPU memories and dividing blocks and threads of GPU kernel functions. The results of experiment on the GPU of NVIDIA GTX560 are given, which shows that our proposed algorithm can be applied to the field of image fusion. Experiment shows the proposed algorithm has faster calcu-lation velocity and higher evaluation accuracy. The speed of the parallel algorithm is 200 times faster than that of the CPU-based implementation. Meanwhile the mutual information and QAB/F parameters are higher than that of the CPU-based algorithm.


2011 ◽  
Vol 284 (6) ◽  
pp. 1540-1547 ◽  
Author(s):  
Qi-guang Miao ◽  
Cheng Shi ◽  
Peng-fei Xu ◽  
Mei Yang ◽  
Yao-bo Shi
Keyword(s):  

Author(s):  
Dongpeng Wu ◽  
Duyan Bi ◽  
Linyuan He ◽  
Shiping Ma ◽  
Zunlin Fan ◽  
...  
Keyword(s):  

2007 ◽  
Author(s):  
Kun Liu ◽  
Lei Guo ◽  
Weiwei Chang ◽  
Huihui Li

Author(s):  
Yinhua Ma ◽  
Yuting Zhai ◽  
Peng Geng ◽  
Pengzhan Yan
Keyword(s):  

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