Title :
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
fDate :
7/1/2002 12:00:00 AM
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;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2002.801714
