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: | International Conference on Image Processing Ročník 2; s. 77 - 80 vol.2 |
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| Hlavní autoři: | , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
1997
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| Témata: | |
| ISBN: | 0818681837, 9780818681837 |
| On-line přístup: | Získat plný text |
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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. |
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| 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. |
| Author_xml | – sequence: 1 givenname: I. surname: Kozintsev fullname: Kozintsev, I. organization: Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA – sequence: 2 givenname: K. surname: Ramchandran fullname: Ramchandran, K. |
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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 | 77 |
| SubjectTerms | Bandwidth Delay Image coding Image communication Image representation Protection PSNR Rayleigh channels Streaming media Time-varying channels |
| Title | Hybrid compressed-uncompressed framework for wireless image transmission |
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