A wavelet zerotree-based hybrid compressed/uncompressed framework for wireless image transmission

We consider the problem of efficient image transmission over noisy time-varying channels subject to a low transmission energy constraint (and fixed bandwidth/delay constraints). We examine the limits of desirability of a highly compressed representation using a joint source-channel coding (JSCC) fra...

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Vydáno v:Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136) Ročník 2; s. 1023 - 1027 vol.2
Hlavní autoři: Kozintsev, I., Ramchandran, K.
Médium: Konferenční příspěvek
Jazyk:angličtina
japonština
Vydáno: IEEE 1997
Témata:
Bandwidth
Delay
Image coding
Image communication
Image representation
Protection
PSNR
Rayleigh channels
Streaming media
Time-varying channels
ISBN:9780818683169, 0818683163
ISSN:1058-6393
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Abstract We consider the problem of efficient image transmission over noisy time-varying channels subject to a low transmission energy constraint (and fixed bandwidth/delay constraints). We examine the limits of desirability of a highly compressed representation using a joint source-channel coding (JSCC) framework. Specifically, invoking as a platform a state-of-the-art wavelet image coder, we demonstrate how the resulting highly compressed digital stream, appropriately protected against channel noise, is not always the best solution. We show how a hybrid scheme based on simple partitioning of the wavelet image representation into "compressed" and "uncompressed" components can lead to significantly improved performance (of the order of 3 dB in PSNR for Rayleigh channels) over popular JSCC schemes which are based on compressed, entropy-coded, and appropriately unequal error-protected (UEP) source representations.
AbstractList We consider the problem of efficient image transmission over noisy time-varying channels subject to a low transmission energy constraint (and fixed bandwidth/delay constraints). We examine the limits of desirability of a highly compressed representation using a joint source-channel coding (JSCC) framework. Specifically, invoking as a platform a state-of-the-art wavelet image coder, we demonstrate how the resulting highly compressed digital stream, appropriately protected against channel noise, is not always the best solution. We show how a hybrid scheme based on simple partitioning of the wavelet image representation into "compressed" and "uncompressed" components can lead to significantly improved performance (of the order of 3 dB in PSNR for Rayleigh channels) over popular JSCC schemes which are based on compressed, entropy-coded, and appropriately unequal error-protected (UEP) source representations.
Author Ramchandran, K.
Kozintsev, I.
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PublicationTitle Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)
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Snippet We consider the problem of efficient image transmission over noisy time-varying channels subject to a low transmission energy constraint (and fixed...
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StartPage 1023
SubjectTerms Bandwidth
Delay
Image coding
Image communication
Image representation
Protection
PSNR
Rayleigh channels
Streaming media
Time-varying channels
Title A wavelet zerotree-based hybrid compressed/uncompressed framework for wireless image transmission
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Volume 2
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