Transmission of images over noisy channels using error-resilient wavelet coding and forward error correction

Boulgouris, Nikolaos V.; Thomos, Nikolaos; Strintzis, Michael G.

doi:10.1109/tcsvt.2003.819187

Cited by 26 publications

(15 citation statements)

References 38 publications

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“…An S-random interleaver [31] with was used with the Turbo coding/decoding processes. The maximum number of Turbo decoding iterations 3 Spectral broadening observed in the transmission of a pure frequency tone. was 20.…”

Section: Resultsmentioning

confidence: 99%

“…However, the use of SPIHT appears to have some disadvantages due to its zerotree-based coding methodology. For this reason, other source coding schemes often appear to be preferable [1], [3]. The specific application of image transmission over wireless channels has deservedly attracted much attention since it requires not only careful design of the coding methodology for the compression of images, but also appropriate selection of the set of channel codes for effective forward-error correction (FEC).…”

Section: Introductionmentioning

confidence: 99%

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Optimized transmission of JPEG2000 streams over wireless channels

Thomos

Boulgouris

Strintzis

2006

IEEE Trans. on Image Process.

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218

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Abstract-The transmission of JPEG2000 images over wireless channels is examined using reorganization of the compressed images into error-resilient, product-coded streams. The product-code consists of Turbo-codes and Reed-Solomon codes which are optimized using an iterative process. The generation of the stream to be transmitted is performed directly using compressed JPEG2000 streams. The resulting scheme is tested for the transmission of compressed JPEG2000 images over wireless channels and is shown to outperform other algorithms which were recently proposed for the wireless transmission of images.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimized transmission of JPEG2000 streams over wireless channels

Thomos

Boulgouris

Strintzis

2006

IEEE Trans. on Image Process.

Self Cite

218

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show abstract

“…To overcome this problem, combined source and channel coding has been considered in most cases where one of the coefficient partitioning methods is used as source coding and combined together with FEC to achieve double level of protection from transmission error [10] [11].…”

Section: Introductionmentioning

confidence: 99%

Enabling Error-Resilient Internet Broadcasting using Motion Compensated Spatial Partitioning and Packet FEC for the Dirac Video Codec

Tun

Loo

Cosmas

2008

JMM

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Abstract-Video transmission over the wireless or wired network require protection from channel errors since compressed video bitstreams are very sensitive to transmission errors because of the use of predictive coding and variable length coding. In this paper, a simple, low complexity and patent free error-resilient coding is proposed. It is based upon the idea of using spatial partitioning on the motion compensated residual frame without employing the transform coefficient coding. The proposed scheme is intended for open source Dirac video codec in order to enable the codec to be used for Internet broadcasting. By partitioning the wavelet transform coefficients of the motion compensated residual frame into groups and independently processing each group using arithmetic coding and Forward Error Correction (FEC), robustness to transmission errors over the packet erasure wired network could be achieved. Using the Rate Compatibles Punctured Code (RCPC) and Turbo Code (TC) as the FEC, the proposed technique provides gracefully decreasing perceptual quality over packet loss rates up to 30%. The PSNR performance is much better when compared with the conventional data partitioning only methods. Simulation results show that the use of multiple partitioning of wavelet coefficient in Dirac can achieve up to 8 dB PSNR gain over its existing un-partitioned method.

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“…An error-resilient scheme for transmission of embedded block-based coders was proposed in [9]. This scheme partitions the bitstream into a number of independently decodable sub-bitstreams which are unequally protected.…”

Section: Introductionmentioning

confidence: 99%

Product code optimization for determinate state LDPC decoding in robust image transmission

Thomos

Boulgouris

Strintzis

2006

IEEE Trans. on Image Process.

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Abstract-We propose a novel scheme for error-resilient image transmission. The proposed scheme employs a product coder consisting of low-density parity check (LDPC) codes and Reed-Solomon codes in order to deal effectively with bit errors. The efficiency of the proposed scheme is based on the exploitation of determinate symbols in Tanner graph decoding of LDPC codes and a novel product code optimization technique based on error estimation. Experimental evaluation demonstrates the superiority of the proposed system in comparison to recent state-of-the-art techniques for image transmission.

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Transmission of images over noisy channels using error-resilient wavelet coding and forward error correction

Cited by 26 publications

References 38 publications

Optimized transmission of JPEG2000 streams over wireless channels

Optimized transmission of JPEG2000 streams over wireless channels

Enabling Error-Resilient Internet Broadcasting using Motion Compensated Spatial Partitioning and Packet FEC for the Dirac Video Codec

Product code optimization for determinate state LDPC decoding in robust image transmission

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