DocumentCode
1785980
Title
Multifocus image fusion based on compressive sensing for visual sensor networks
Author
Kazemi, Vahdat ; Seyedarabi, Hadi ; Aghagolzadeh, Ali
Author_Institution
Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
fYear
2014
fDate
20-22 May 2014
Firstpage
1668
Lastpage
1672
Abstract
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.
Keywords
cameras; compressed sensing; energy consumption; image fusion; wireless sensor networks; bandwidth reduction; compressive sensing; energy consumption; multifocus image fusion; sensor lifetime; visual sensor network; Cameras; Compressed sensing; Discrete wavelet transforms; Image fusion; Measurement; Sparse matrices; Visualization; compressive sensing; discrete wavelet transform; multifocus image fusion; visual sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location
Tehran
Type
conf
DOI
10.1109/IranianCEE.2014.6999806
Filename
6999806
Link To Document