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

fYear

2009

fDate

25-28 July 2009

Firstpage

353

Lastpage

356

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCSE.2009.5228430

Filename

5228430