Title :
Research of image compression based on Wireless visual sensor networks
Author :
Jinchuang, Zhao ; Yan, Tan ; Wenli, Fu
Author_Institution :
Dept. of Electron. & Inf. Eng., Guangxi Univ., Nanning, China
Abstract :
In order to solve the problems of limited energy and noisy channel in wireless visual sensor networks, a image coding algorithm of separated sub-tree based on no list set partitioning in hierarchical trees and a segment transmission scheme are proposed in this paper. Each sub-tree is coded independently to control error propagation, and compressed bit streams are transmitted segmently. Thus anti-noise and energy-efficient performance are greatly improved. The simulation results show the effectiveness of proposed image coding strategy. It can be applied to some specific environment used Wireless visual sensor networks.
Keywords :
data compression; image coding; image segmentation; trees (mathematics); wireless channels; wireless sensor networks; energy-efficient performance; error propagation control; hierarchical trees; image coding algorithm; image compression; segment transmission scheme; wireless channel; wireless visual sensor networks; Computer science; Computer science education; Error correction codes; Image coding; Image segmentation; Image sensors; Indexing; Partitioning algorithms; Streaming media; Wireless sensor networks; bit-error-rate; energy consumption; separated sub-tree; wireless visual sensor networks;
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
DOI :
10.1109/ICCSE.2009.5228430
