DocumentCode :
3067565
Title :
A New Multi-quality Image Fusion Method in Visual Sensor Network
Author :
Yang, Minghua ; Cao, Yuanda ; Tan, Li ; Zhang, Changyou ; Yu, Jiong
Author_Institution :
Beijing Inst. of Technol., Beijing
Volume :
2
fYear :
2007
fDate :
26-28 Nov. 2007
Firstpage :
667
Lastpage :
670
Abstract :
Bandwidth, energy consumption and delay are always bottlenecks of visual sensor network. In this paper a hierarchical multi-quality image fusion method based on region-mapping is proposed to improve above condition. Camera view is divided into regions according to mapping relation and the structured deployment of nodes. The methods of motion attention analysis and nearest neighbor sampling are also adopted to optimize the local attention region of the image. The proposed fusion method is analyzed and verified to be effective to improve the quality of the monitor image with no need for more energy and bandwidth.
Keywords :
image fusion; image motion analysis; sampling methods; motion attention analysis; multiquality image fusion method; nearest neighbor sampling; region-mapping; visual sensor network; Bandwidth; Cameras; Energy consumption; Image analysis; Image fusion; Image motion analysis; Image sensors; Motion analysis; Nearest neighbor searches; Sensor fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-2994-1
Type :
conf
DOI :
10.1109/IIH-MSP.2007.42
Filename :
4457797
Link To Document :
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