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Cluster Computing
Published in: Cluster Computing 5/2019

08-09-2017

Noisy image reconstruction based on low-rank in UAV wireless transmission

Authors: Shihong Yao, Tao Wang, Qingfeng Guan, Xiao Xie

Published in: Cluster Computing | Special Issue 5/2019

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Abstract

Compressed sensing changes the conventional image processing model of full collection-sampling-compression-transmission-reconstruction and provides a more feasible way to the UAV wireless transmission. Existing matching pursuit algorithms cannot simultaneously meet the requirements of reconstruction accuracy and reconstruction efficiency in UAV wireless transmission, especially when the images are polluted by some noise. Hence, we propose an effective noisy image reconstruction algorithm based on low-rank which introduces the low-rank matrix decomposition and the Augmented Lagrange Multiplier to realize the tradeoff between reconstruction accuracy and reconstruction efficiency. Experimental results verify that the proposed LR algorithm has a superior and stable reconstruction performance on noisy image reconstruction compared with the matching pursuit algorithms.
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Metadata
Title
Noisy image reconstruction based on low-rank in UAV wireless transmission
Authors
Shihong Yao
Tao Wang
Qingfeng Guan
Xiao Xie
Publication date
08-09-2017
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 5/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1163-2

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