Efficient Quantization with Linear Index Coding for Deep-Space Images
Joint Authors
Huang, Qin
Mahmood, Rehan
Wang, Zulin
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-11
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Mahmood, Rehan& Wang, Zulin& Huang, Qin. 2018. Efficient Quantization with Linear Index Coding for Deep-Space Images. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216149
Modern Language Association (MLA)
Mahmood, Rehan…[et al.]. Efficient Quantization with Linear Index Coding for Deep-Space Images. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1216149
American Medical Association (AMA)
Mahmood, Rehan& Wang, Zulin& Huang, Qin. Efficient Quantization with Linear Index Coding for Deep-Space Images. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216149
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216149