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Advances in Visual Data Compression and Communication
book

Advances in Visual Data Compression and Communication

by Feng Wu
July 2014
Intermediate to advanced content levelIntermediate to advanced
513 pages
16h 40m
English
Auerbach Publications
Content preview from Advances in Visual Data Compression and Communication
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19.3 Source Coding 431
Source
Encoder
(a)
Source
Decoder
s
y
ŝ
Source
Encoder
(
b)
Source
Decoder
s
C={ c(1),c(2),...,c(N)
}
ŝ
Figure 19.4 Distributed source coding without/with Cloud sources.
viewpoint of Shannon’s information theory, it does not look like source coding. Fur-
thermore, it cannot achieve a good reconstruction under the MSE criteria.
Because Cloud sources are assumed to be available at the receiver, one more rea-
sonable solution should be distributed source coding (DSC). In conventional DSC, as
shown in Figure 19.4a, a correlated source y, called side information, has been iden-
tified at the receiver. Input source s is first coset quantized ...
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Publisher Resources

ISBN: 9781482234138