Multiple description wavelet based image coding
Servetto, S.D.
Ramchandran, K.
Vaishampayan, V.A.
Nahrstedt, K.
Lab. de Commun. Audiovisuelles, Ecole Polytech. Fed. de Lausanne;
This paper appears in: Image Processing, IEEE Transactions on
Publication Date: May 2000
Volume: 9,
Issue: 5
On page(s): 813-826
ISSN: 1057-7149
References Cited: 37
CODEN: IIPRE4
INSPEC Accession Number: 6608248
Digital Object Identifier: 10.1109/83.841528
Current Version Published: 2002-08-06
Abstract
We consider the problem of coding images for transmission over
error-prone channels. The impairments we target are transient channel
shutdowns, as would occur in a packet network when a packet is lost, or
in a wireless system during a deep fade: when data is delivered it is
assumed to be error-free, but some of the data may never reach the
receiver. The proposed algorithms are based on a combination of multiple
description scalar quantizers with techniques successfully applied to
the construction of some of the most efficient subband coders. A given
image is encoded into multiple independent packets of roughly equal
length. When packets are lost, the quality of the approximation computed
at the receiver depends only on the number of packets received, but does
not depend on exactly which packets are actually received. When compared
with previously reported results on the performance of robust image
coders based on multiple descriptions, on standard test images, our
coders attain similar PSNR values using typically about 50-60% of the
bit rate required by these other state-of-the-art coders, while at the
same time providing significantly more freedom in the mechanism for
allocation of redundancy among descriptions
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