Efficient Quantization with Linear Index Coding for Deep-Space Images

Efficient Quantization with Linear Index Coding for Deep-Space Images

Due to inevitable propagation delay involved in deep-space communication systems, very high cost is associated with the retransmission of erroneous segments. Quantization with linear index coding (QLIC) scheme is known to provide compression along with robust transmission of deep-space images, and t...

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Main Authors: Rehan Mahmood, Zulin Wang, Qin Huang
Format: Article
Language:English
Published: Hindawi-Wiley 2018-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2018/6387214
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spelling doaj-c62e9092ea674e76992722b2c7d8cb6f2020-11-25T01:09:31ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772018-01-01201810.1155/2018/63872146387214Efficient Quantization with Linear Index Coding for Deep-Space ImagesRehan Mahmood0Zulin Wang1Qin Huang2School of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaDue to inevitable propagation delay involved in deep-space communication systems, very high cost is associated with the retransmission of erroneous segments. Quantization with linear index coding (QLIC) scheme is known to provide compression along with robust transmission of deep-space images, and thus the likelihood of retransmissions is significantly reduced. This paper aims to improve its spectral efficiency as well as robustness. First, multiple quantization refinement levels per transmitted source block of QLIC are proposed to increase spectral efficiency. Then, iterative multipass decoding is introduced to jointly decode the subsource symbol-planes. It achieves better PSNR of the reconstructed image as compared to the baseline one-pass decoding approach of QLIC.http://dx.doi.org/10.1155/2018/6387214
collection DOAJ
language English
format Article
sources DOAJ
author Rehan Mahmood
Zulin Wang
Qin Huang
spellingShingle Rehan Mahmood
Zulin Wang
Qin Huang
Efficient Quantization with Linear Index Coding for Deep-Space Images
Wireless Communications and Mobile Computing
author_facet Rehan Mahmood
Zulin Wang
Qin Huang
author_sort Rehan Mahmood
title Efficient Quantization with Linear Index Coding for Deep-Space Images
title_short Efficient Quantization with Linear Index Coding for Deep-Space Images
title_full Efficient Quantization with Linear Index Coding for Deep-Space Images
title_fullStr Efficient Quantization with Linear Index Coding for Deep-Space Images
title_full_unstemmed Efficient Quantization with Linear Index Coding for Deep-Space Images
title_sort efficient quantization with linear index coding for deep-space images
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2018-01-01
description Due to inevitable propagation delay involved in deep-space communication systems, very high cost is associated with the retransmission of erroneous segments. Quantization with linear index coding (QLIC) scheme is known to provide compression along with robust transmission of deep-space images, and thus the likelihood of retransmissions is significantly reduced. This paper aims to improve its spectral efficiency as well as robustness. First, multiple quantization refinement levels per transmitted source block of QLIC are proposed to increase spectral efficiency. Then, iterative multipass decoding is introduced to jointly decode the subsource symbol-planes. It achieves better PSNR of the reconstructed image as compared to the baseline one-pass decoding approach of QLIC.
url http://dx.doi.org/10.1155/2018/6387214
work_keys_str_mv AT rehanmahmood efficientquantizationwithlinearindexcodingfordeepspaceimages
AT zulinwang efficientquantizationwithlinearindexcodingfordeepspaceimages
AT qinhuang efficientquantizationwithlinearindexcodingfordeepspaceimages
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