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Numerous sophisticated techniques have been developed over the
last several decades to
efficiently transmit images across noisy channels.
Here, we cascade an existing image coder
with carefully chosen error control coding,
and thus produce a progressive image compression scheme whose
performance on a noisy channel is significantly better than that of
previously known image compression techniques.
The main idea is to trade off the available transmission rate between
source coding and channel coding in an efficient manner.
This coding system is easy to implement and has acceptably low complexity.
Furthermore, effectively no degradation due to channel noise can be detected;
instead, the penalty paid due to channel noise is a reduction in
source coding resolution.
As an example, for the 512x512 Lena image,
at an overall transmission rate of 1 bit per pixel, and
for binary symmetric channels with bit error probabilities
0.001, 0.01, and 0.1, the proposed
system typically outperforms other existing systems by at least
2.6 dB, 2.8 dB, and 8.9 dB,
respectively.
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