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Hybrid Fractal Image Coding

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

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Abstract

In order to improve the performance of fractal coding methods, a new method is proposed in this paper. Firstly, we find that the range blocks with large variances play a more important role in causing the degradation of decoded images, and the effect of the remaining range blocks can be ignored. Secondly, the range blocks with larger variances will be encoded in an extended domain block pool, and the remaining ones will be encoded with the no-search fractal encoding method. Finally, two fractal coding methods are used to assess the performance of the proposed method. Experiments show that compared with the previous methods, the proposed method can provide shorter encoding time, better quality of decoded images and fewer bits per pixel.

Guohua Jin and Qiang Wang—These authors contributed equally to this work and should be considered co-first authors.

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Author information

Authors and Affiliations

  1. College of Information Science and Technology, Dalian Maritime University, Dalian, China

    Guohua Jin, Qiang Wang & Sheng Bi

Authors
  1. Guohua Jin
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  2. Qiang Wang
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  3. Sheng Bi
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Corresponding author

Correspondence to Sheng Bi .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Jin, G., Wang, Q., Bi, S. (2020). Hybrid Fractal Image Coding. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_32

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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