Image coding for noisy channels

Author

Soleymani, Mohammad Reza ; Morgera, Salvatore D. ; Quesnel, Ronny

Author_Institution

Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada

fYear

1991

fDate

14-17 Apr 1991

Firstpage

2785

Abstract

The concept of vector trellis quantization is presented and applied to the encoding and decoding of still images for transmission over noiseless and noisy communication channels. A design procedure for a channel-optimized vector trellis quantizer is described. The criterion used in the design procedure is the expected squared error distortion measure. Simulation results using real images and a binary symmetric channel indicate that substantial signal-to-noise ratio improvement can be achieved at low, fractional transmission rates and high bit error rates

Keywords

data compression; encoding; picture processing; telecommunication channels; BER; SNR; binary symmetric channel; bit error rates; decoding; encoding; fractional transmission; image coding; noiseless communication channel; noisy communication channels; signal-to-noise ratio; squared error distortion measure; still images; vector trellis quantization; Bit error rate; Channel coding; Communication channels; Data compression; Decoding; Distortion measurement; Image coding; Information theory; Laboratories; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150980

Filename

150980