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access icon free Iterative source and channel decoding relying on correlation modelling for wireless video transmission

© The Institution of Engineering and Technology
Received 22/01/2013, Accepted 07/04/2013, Revised 20/03/2013, Published

Since joint source-channel decoding is capable of exploiting the residual redundancy in the source signals for improving the attainable error resilience, it has attracted substantial attention. In this treatise, the authors study iterative source-channel decoding (ISCD) aided video communications, where the video signal redundancy is modelled by a first-order Markov process. Firstly, the authors derive reduced-complexity formulas for the first-order Markov modelling (FOMM) aided source decoding. Then they propose a bit-based iterative horizontal–vertical scanline model (IHVSM) aided source decoding algorithm, where a horizontal and a vertical source decoder are employed for exchanging their extrinsic information using the iterative decoding philosophy. The iterative IHVSM aided decoder is then employed in a forward error correction (FEC) encoded uncompressed video transmission scenario, where the IHVSM and the FEC decoder exchange softbit-information for performing turbo-like ISCD for the sake of improving the reconstructed video quality. Finally, the authors benchmark the attainable system performance against a near-lossless H.264/AVC video communication system and the existing FOMM-based softbit source decoding scheme. The authors simulation results show that Eb /N 0 improvements in excess of 2.8 dB are attainable by the proposed technique in uncompressed video applications.

Inspec keywords: combined source-channel coding; Markov processes; radio receivers; forward error correction; data compression; video coding; video communication; iterative decoding

Other keywords: vertical source decoder; first-order Markov modelling aided source decoding algorithm; wireless video transmission; iterative source-channel decoding aided video communications; joint source-channel decoding; 1D Markov model aided decoder; uncompressed video applications; residual redundancy; source signals; ISCD; FOMM-based softbit source decoding scheme; bit-based iterative horizontal-vertical scanline model aided source decoding algorithm; reduced-complexity formulas; reconstructed video quality improvement; gain 2.8 dB; first-order Markov process; IHVSM; FOMM; correlation modelling; forward error correction encoded uncompressed video transmission scenario; near-lossless H.264-AVC video communication system; attainable error resilience improvement; FEC decoder; horizontal source decoder; source redundancy

Subjects: Radio links and equipment; Video signal processing; Markov processes; Markov processes; Image and video coding

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