In this paper, we present a new and efficient multifocus image fusion based on compressive sensing in visual sensor networks. The energy consumption and bandwidth are mean factor in visual sensor networks which determine the lifetime of sensors. Thus, for reducing the energy consumption and bandwidth in transmission; the proposed method uses compressive sensing for fusion of multifocus images. The experimental results show that the proposed approach can achieve a higher fusion quality than some exiting fusion schemes.
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China Univ Geosci, Fac Mech & Elect Informat, Wuhan 430074, Hubei, Peoples R ChinaChina Univ Geosci, Fac Mech & Elect Informat, Wuhan 430074, Hubei, Peoples R China
Zhang, Xufan
Wang, Yong
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China Univ Geosci, Fac Mech & Elect Informat, Wuhan 430074, Hubei, Peoples R ChinaChina Univ Geosci, Fac Mech & Elect Informat, Wuhan 430074, Hubei, Peoples R China
Wang, Yong
Wang, Dianhong
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China Univ Geosci, Fac Mech & Elect Informat, Wuhan 430074, Hubei, Peoples R ChinaChina Univ Geosci, Fac Mech & Elect Informat, Wuhan 430074, Hubei, Peoples R China
Wang, Dianhong
Li, Yamin
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China Univ Geosci, Fac Mech & Elect Informat, Wuhan 430074, Hubei, Peoples R ChinaChina Univ Geosci, Fac Mech & Elect Informat, Wuhan 430074, Hubei, Peoples R China