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Información general |
| Autor |
Xu, Liang; Du, Junping; Hu, Qian; Li, Qingping |
| Publicado |
InTech Open Access Publisher, 2013
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| Abstract |
The uniform discrete curvelet transform (UDCT)
is a novel tool for multiscale representations with several
desirable properties compared to previous representation
methods. A novel algorithm based on UDCT is proposed
for the fusion of multi‐source images. A novel fusion rule
for different subband coefficients obtained by UDCT
decomposition is discussed in detail. Low‐pass subband
coefficients are merged to develop a fusion rule based on a
feature similarity (FSIM) index. High‐pass directional
subband coefficients are merged for a fusion rule based on
a complex coefficients feature similarity (CCFSIM) index.
Experimental results demonstrate that the proposed
algorithm fuses all of the useful information from source
images without introducing artefacts. Compared with
several state‐of‐the‐art fusion methods, it yields a better
performance and achieves higher efficiency. |
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International Journal of Advanced Robotic Systems
Autor: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publicado: 2004
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