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Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 1 pp 711–717Cite as

Research on the Lossless Image Compression Algorithm Based on Linux Embedded System

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 223))

Abstract

Based on the ARM Linux operating system, this chapter studied the technology of image capturing and compression. It makes the JPG image have lossless compression, so it can reduce the transmission of data traffic and increases the channel utilization. Its concrete realization process is that to first extract useful coding information from the image, and then remove the redundant coding information. In this way, the system could increase the channel capacity and improve the information transferring rate.

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Acknowledgments

The work was supported by the “Twelfth Five-Year Plan” science and technology research projects of the Education Department of Jilin province, with the project number [2012] 438 and the name Research and implementation on general system platform of university excellent courses based on B/S model.

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Authors and Affiliations

  1. Department of Information Engineering, Jilin Business and Technology College, Changchun, 130062, China

    Liping Hao

Authors
  1. Liping Hao
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Correspondence to Liping Hao .

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Editors and Affiliations

  1. , Department of Electronic Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China, People's Republic

    Yuhang Yang

  2. , Electrical & Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore

    Maode Ma

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Hao, L. (2013). Research on the Lossless Image Compression Algorithm Based on Linux Embedded System. In: Yang, Y., Ma, M. (eds) Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 1. Lecture Notes in Electrical Engineering, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35419-9_83

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  • DOI: https://doi.org/10.1007/978-3-642-35419-9_83

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35418-2

  • Online ISBN: 978-3-642-35419-9

  • eBook Packages: EngineeringEngineering (R0)

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