Open document
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General information |
| Author |
Li, Qingping; Du, Junping; Xu, Liang |
| Published |
InTech Open Access Publisher, 2013
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| Abstract |
With the development of sensor and imageprocessing
technology, image fusion has become a
promising research field. Multi‐focus image fusion is an
important issue in multi‐sensor image fusion. To make
full use of the texture features of an image and take into
account the inherent advantages of fractal theory in
multi‐focus image fusion, a new image fusion algorithm
using the local fractal dimension (LFD) is proposed. The
algorithm first calculates the LFD of each source image
pixel‐wise by using a blanket method and generates LFD
maps of the source images. Then the local energy of each
LFD is calculated to generate a decision map, in order to
decide pixels of the fused image are from which source
image. Finally, the fused image is reconstructed from the
source images according to the decision map.
Experimental results show that the proposed algorithm
outperforms classic LP‐based and DWT‐based methods
according to both visual and objective evaluations. |
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International Journal of Advanced Robotic Systems
Author: 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, [...]
Published: 2004
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