eCite Digital Repository
Optimum bit rate for image transmission over underwater acoustic channel
Citation
Esmaiel, H and Jiang, D, Optimum bit rate for image transmission over underwater acoustic channel, Journal of Electrical and Electronic Engineering, 2, (4) pp. 64-74. ISSN 2329-1613 (2014) [Refereed Article]
![]() | PDF (Published paper) 618Kb |
Copyright Statement
Copyright 2014 Science Publishing Group
DOI: doi:10.11648/j.jeee.20140204.12
Abstract
In this paper, image transmission in underwater channels is considered. The images are encoded with forward error
correction using an unequal error protection technique together with the Reed-Solomon codes and dynamic bit-rate allocation
before transmitted. This paper proposes a novel rate allocation scheme for efficient image bit stream transmission in underwater
acoustic channels with optimum bit rates. The optimality is achieved in the sense that the comprehensive peak signal–to–noise
ratio of the image transmission is maximized under channel bit rate and bit error rate constraints. Based on a modified set
partitioning in hierarchical trees (M-SPIHT) image coder, four different flocks of bit-streams based on their significance levels
are generated. According to their significance levels, the blocks of the significant bits, the sign bits, the set bits and the refinement
bits are transmitted with different protection levels, so as to reduce the total distortion of received image. In addition to the careful
selection of each component and intuitive justification in the detailed system design, simulation results have also been included.
It is demonstrated that the proposed scheme outperforms the equal error protection for image transmission in underwater
channels, significantly improves the peak signals–to–noise ratio (PSNR) performance in comparison to existing coding schemes.
Item Details
Item Type: | Refereed Article |
---|---|
Keywords: | rate allocation, reed solomon coder, SPIHT coding, underwater acoustic channel, unequal error protection |
Research Division: | Information and Computing Sciences |
Research Group: | Computer vision and multimedia computation |
Research Field: | Image processing |
Objective Division: | Information and Communication Services |
Objective Group: | Communication technologies, systems and services |
Objective Field: | Mobile technologies and communications |
UTAS Author: | Esmaiel, H (Mr Hamada Esmaiel) |
UTAS Author: | Jiang, D (Dr Danchi Jiang) |
ID Code: | 97094 |
Year Published: | 2014 |
Deposited By: | Engineering |
Deposited On: | 2014-12-02 |
Last Modified: | 2015-04-16 |
Downloads: | 502 View Download Statistics |
Repository Staff Only: item control page