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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2017

08.08.2017

Non-binary Tail-Biting LDPC Convolutional Code Encoding for Image Transmission

verfasst von: Tanaporn Payommai, Kosin Chamnongthai

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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Abstract

In current image transmission, data channel encoding is needed to consider noise and bit-error protection in order to enhance and guarantee image-data quality. This paper focuses on a problem of image transmission with high bit error rate (BER) and additive white Gaussian noise (AWGN) channel, and proposes a method of non-binary tail-biting low-density parity-check convolutional (NB TB-LDPCC) code encoding for image transmission. In this method, image data compressed by JPEG are used to construct finite fields in non-binary, then construct a base matrix in column weight two, and finally create tail biting LDPC convolution code for modulation in the next process in image transmission. The performance of the proposed method is evaluated by 30 images on USC-SIPI Image Database, and the comparison results with conventional method reveal BER is improved at most 1 dB, and PSNR is increased 2.01 dB approximately.
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Metadaten
Titel
Non-binary Tail-Biting LDPC Convolutional Code Encoding for Image Transmission
verfasst von
Tanaporn Payommai
Kosin Chamnongthai
Publikationsdatum
08.08.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4728-8

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