Multi-Pass Decoding for the Robust Transmission of Deep-Space Images

Mahmood, Rehan; Wang, Zulin; Huang, Qin

doi:10.1109/vtcspring.2017.8108437

Cited by 1 publication

(1 citation statement)

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“…In this paper, we show that lower significant symbol-planes can also provide new extrinsic information to the higher significant symbol-planes by executing multiple decoding passes. In fact, different from [28,29], only the reliably recovered symbol of a lower level is used to provide effective extrinsic information, if its corresponding symbol of higher level was recovered with low reliability in the previous decoding pass. Therefore, we propose to only utilize the information from those combinations of the symbol-planes which results in the maximum capacity of its observed virtual correlation channel.…”

Section: Introductionmentioning

confidence: 99%

Efficient Quantization with Linear Index Coding for Deep‐Space Images

Mahmood

Wang

Huang

2018

Wireless Communications and Mobile Computing

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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.

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Section: Introductionmentioning

confidence: 99%