Performance evaluation and optimization of embedded image sources over noisy channels

Author

Zhao, Minyi ; Pearlman, William A. ; Akansu, Ali N.

Author_Institution

Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA

Volume

9

Issue

7

fYear

2002

fDate

7/1/2002 12:00:00 AM

Firstpage

200

Lastpage

203

Abstract

We investigate and prove the relationships among several commonly used and new performance metrics for embedded image bit streams transmitted over noisy channels. The average of the first error-free run length (FEFRL) is proposed as a simpler performance metric. On binary symmetric channels (BSC), the average FEFRL is obtained in closed form, which greatly simplifies performance optimization. Simulation results justify the merit of the proposed technique.

Keywords

convolutional codes; image coding; noise; optimisation; source coding; variable length codes; visual communication; average FEFRL; binary symmetric channels; closed-form expression; embedded image bit streams; embedded image sources; first error-free run length; image transmission; noisy channels; performance evaluation; performance metrics; performance optimization; rate-compatible punctured convolutional; simulation results; variable-length coding; Decoding; Error correction; Image coding; Measurement; Optimization; PSNR; Partitioning algorithms; Sorting; Streaming media; Working environment noise;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2002.801714

Filename

1025534