Joint source-channel image coding for a power constrained noisy channel

Author

Fossorier, Marc P C ; Xiong, Zixiang ; Zeger, Kenneth

Author_Institution

Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA

Volume

2

fYear

1998

fDate

4-7 Oct 1998

Firstpage

122

Abstract

We study joint source-channel coding for a power constrained Gaussian channel and its application to progressive image compression. For a given power constrained, we consider the optimum allocation of energy per bit for a BPSK transmitter and the best choice of channel code rate, when the performance is measured by end-to-end average quantizer distortion. Choosing the average energy per transmitted bit in conjunction with both the source rate and the channel code rate provides an additional degree of freedom with respect to previously proposed schemes, and therefore can achieve higher overall PSNRs for images

Keywords

BCH codes; Gaussian channels; block codes; combined source-channel coding; image coding; noise; phase shift keying; transform coding; wavelet transforms; BPSK; Gaussian channel; PSNR; channel code rate; end-to-end average quantizer distortion; energy per bit; joint source-channel image coding; optimum allocation; performance; power constrained noisy channel; progressive image compression; source rate; AWGN; Additive white noise; Binary phase shift keying; Distortion measurement; Gaussian channels; Image coding; PSNR; Power measurement; Source coding; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.723330

Filename

723330