Abstract

Motivated by recent results in multiple description image coding over wireless networks, we propose a scheme for transmission of multiple descriptions through hybrid packet loss and additive white Gaussian noise channel. Each description is coded into multiple bitstreams by applying SPIHT coding on wavelet trees along spatial orientations and each stream is further compressed using arithmetic code. Use of error resilient entropy coding (EREC) is proposed in literature for synchronization requirement of variable length codes, but EREC is not compatible with iterative soft-in soft-out decoding of arithmetic code at the receiver. We propose the application of EREC assisted by state and tail bits (ERECST) in conjunction with iterative decoding of arithmetic code at receiver for reconstructing the multiple description coded image over packet loss and Gaussian noise channel. Experimental results demonstrate that an additional gain of 7 dB in PSNR is obtained over existing scheme.

Highlights

  • Current advances in microelectronics and wireless communication have enabled the development of miniaturized, low-cost and low power computing nodes in multihop wireless networks

  • Our innovation lies in applying error resilient entropy coding (EREC) assisted by state and tail bits (ERECST) [15] with arithmetic coded SPIHT trees of variable lengths for soft-input soft-output (SISO) decoding of arithmetic codes

  • All the bitstreams are independently arithmetic coded for further compression, formed into fixed length slots (FLS) using ERECST

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Summary

Introduction

Current advances in microelectronics and wireless communication have enabled the development of miniaturized, low-cost and low power computing nodes in multihop wireless networks. Existing schemes in literature suppose the transmission media to be random bit error and packet loss channel This assumption is not necessarily suitable for many binary-input continuous output channels (e.g. AWGN channel), where soft decision output of channel decoder can be utilized by the source decoder for further improving the PSNR performance. At the encoder SPIHT coded bitstreams are arithmetic coded to further increase compression efficiency compared to the scheme proposed in [12] and use of soft channel information at the receiver improves the noise robustness of the arithmetic decoder. Our innovation lies in applying EREC assisted by state and tail bits (ERECST) [15] with arithmetic coded SPIHT trees of variable lengths for SISO decoding of arithmetic codes This enables iterative source-channel decoding of EREC coded fixed length slots at the receiver and improve PSNR gain significantly.

System Model
DWT and MDSQ
SPIHT Coding of Wavelet Trees
CRC and Arithmetic Coding
ERECST and Packet Formation
Channel Coding and Transmission
Decoding of Received Descriptions
Iterative Source-Channel Decoding
Decoding of Multiple Descriptions
Simulation Results
Conclusion

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