Joint source and channel coding/decoding by concatenating an oversampled filter bank code and a redundant entropy code [image coding application]

This paper examines a joint source and channel coding (JSCC) technique based on oversampled filter banks (OFB). We consider an image compression system with an OFB based signal decomposition followed by scalar quantization and a redundant entropy coding scheme. This encoding chain can be viewed as a...

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Veröffentlicht in:2004 IEEE Global Telecommunications Conference - Globecom Jg. 4; S. 2609 - 2614 Vol.4
Hauptverfasser: Marinkovic, S., Guillemot, C.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Piscataway, New Jersey IEEE 2004
Schlagworte:
Applied sciences
Background noise
Channel coding
Coding, codes
Convolutional codes
Decoding
Detection, estimation, filtering, equalization, prediction
Entropy
Error correction codes
Exact sciences and technology
Filter bank
Image coding
Information, signal and communications theory
Miscellaneous
Quantization
Sampling, quantization
Signal and communications theory
Signal processing
Signal, noise
Telecommunications and information theory
Testing
Image processing
Redundancy
Data compression
Entropy codes
Image compression
Entropy
Decoding
Oversampling
Joint source channel coding
Image coding
Concatenation
Algorithm performance
Wavelet transformation
Signal quantization
Signal processing
Filter bank
Error correcting code
Error correction
Localization
ISBN:9780780387942, 0780387945
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This paper examines a joint source and channel coding (JSCC) technique based on oversampled filter banks (OFB). We consider an image compression system with an OFB based signal decomposition followed by scalar quantization and a redundant entropy coding scheme. This encoding chain can be viewed as a concatenation of an OFB code and an error correcting entropy code. The error correcting ability of an OFB comes from the explicit redundancy introduced into the transmitted signal by oversampling while the error correcting ability of the entropy code comes from the implicit redundancy due to the Markov property of the OFB outputs. The decoder consists of the soft-input soft-output entropy decoder and a syndrome decoder for the OFB code. The soft information at the output of the entropy decoder is utilized in the error localization procedure of the OFB syndrome decoder. The performance of the algorithm is examined for an image coding system with a wavelet filter bank.
ISBN:9780780387942
0780387945
DOI:10.1109/GLOCOM.2004.1378477