Hierarchical image coding matched to unequal error protection rate compatible punctured convolutional codes

Author

Li, Lijun ; Salehi, Masoud

Author_Institution

Dept. of Electr. Electron. & Computer Sci.,, California Univ., Irvine, CA, USA

Volume

1

fYear

2003

fDate

8-13 Oct. 2003

Firstpage

238

Abstract

A two-dimensional unequal error protection (UEP) image channel coding algorithm matched to the two-dimensional hierarchy in the output data of an set partitioning in hierarchical trees (SPIHT) image encoder is proposed. The simulations are done over a binary symmetric channel (BSC), a Gaussian channel and a flat fading channel using Lena, and Goldhill images. In all cases, the simulation results show that our UEP scheme can provide improvements over equal error protection (EEP). In the case of BSC with BER = 0.01, our UEP scheme, can provide up to 14.4% and 16.0% improvements of channel coding rate over EEP for Lena, and, Goldhill images.

Keywords

Gaussian channels; channel coding; convolutional codes; error statistics; fading channels; image coding; trees (mathematics); BER; Gaussian channel; Goldhill images; Lena images; binary symmetric channel; flat fading channel; image channel coding; image coding; image encoder; punctured convolutional codes; set partitioning in hierarchical trees; unequal error protection; Bit error rate; Channel coding; Convolutional codes; Decoding; Error correction codes; Fading; Gaussian channels; Image coding; Partitioning algorithms; Protection;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on

Print_ISBN

0-7803-7925-X

Type

conf

DOI

10.1109/RISSP.2003.1285580

Filename

1285580