A New Multi-quality Image Fusion Method in Visual Sensor Network

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.

[1]  R. Cucchiara.  Multimedia surveillance systems , 2005, VSSN@MM.

[2]  HongJiang Zhang,et al.  A model of motion attention for video skimming , 2002, Proceedings. International Conference on Image Processing.

[3]  Prashant J. Shenoy,et al.  The case for multi--tier camera sensor networks , 2005, NOSSDAV '05.

[4]  Hai-Hui Wang,et al.  Fusion algorithm for multisensor images based on discrete multiwavelet transform , 2002 .

[5]  Gregory J. Pottie,et al.  Instrumenting the world with wireless sensor networks , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[6]  Matt Welsh,et al.  MoteLab: a wireless sensor network testbed , 2005, IPSN '05.