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Adaptive image compression based on compressive sensing for video sensor nodes

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Abstract

Monitoring applications based on wireless video sensor networks are becoming highly attractive. However, due to constrained resources such as energy budget, communication bandwidth and computing ability, it is imperative for video sensor nodes to compress images before transmission via wireless networks. In this paper, we propose a novel image compression scheme based on compressive sensing, which has low complexity and good compression performance. The image quality can be adaptively adjusted by the residual energy of sensor nodes and the link quality of network. Furthermore, the image compression algorithm has been validated on the actual hardware platforms. The experimental results show that the proposed scheme is suitable for resource-constrained video sensor nodes, and is feasible for the practical application.

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Acknowledgements

This work was supported in part by the Natural Science Foundation of China under Grants 41202232 and 61271274.

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Authors and Affiliations

  1. Faculty of Mechanical and Electronic Information, China University of Geosciences, Wuhan, 430074, China

    Xufan Zhang, Yong Wang, Dianhong Wang & Yamin Li

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  1. Xufan Zhang
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  2. Yong Wang
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  3. Dianhong Wang
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  4. Yamin Li
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Correspondence to Yong Wang.

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Zhang, X., Wang, Y., Wang, D. et al. Adaptive image compression based on compressive sensing for video sensor nodes. Multimed Tools Appl 77, 13679–13699 (2018). https://doi.org/10.1007/s11042-017-4981-6

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  • DOI: https://doi.org/10.1007/s11042-017-4981-6

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