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International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions pp 525–532Cite as

Image Compression Methodology Based on Fuzzy Transform

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 189))

Abstract

The main objective of our work is to develop an effective algorithm for image compression. We use both lossy and non-lossy compression to achieve best result. Our compression technique is based on the direct and inverse fuzzy transform (F-transform), which is modified to work with dynamical fuzzy partition. The essential features of the proposed algorithm are: extracting edges, automatic thresholding, histogram adjustment. The article provides a comparison of our algorithm with the image compression algorithm (JPEG) and other existing algorithms [1, 7] based on fuzzy transform.

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References

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Author information

Authors and Affiliations

  1. Institute for Research and Applications of Fuzzy Modeling, Centre of Excellence IT4Innovations Division of the University of Ostrava, 30. dubna 22, 701 00, Ostrava, Czech Republic

    Petr Hurtik & Irina Perfilieva

Authors
  1. Petr Hurtik
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  2. Irina Perfilieva
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Corresponding author

Correspondence to Petr Hurtik .

Editor information

Editors and Affiliations

  1. , Department of Civil Engineering, University of Burgos, Campus Vena (Edif.C), C/ Francisco de Vitoria, s/n, Burgos, 09006, Spain

    Álvaro Herrero

  2. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Václav Snášel

  3. MIR Labs, Scientific Network for Innovation, Machine Intelligence Research Labs, Auburn, 98071, USA

    Ajith Abraham

  4. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Ivan Zelinka

  5. , Department of Civil Engineering, University of Burgos, Campus Vena (Edif.C), C/ Francisco de Vitoria, s/n, Burgos, 09006, Spain

    Bruno Baruque

  6. Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Héctor Quintián

  7. University of Coruña, Avda. 19 de febrero, s/n, Coruña, 15405 A, Spain

    José Luis Calvo

  8. y León, Pol. Ind. Villalonquéjar, Instituto Tecnológico de Castilla, Lopez Bravo 70, Burgos, 09001, Spain

    Javier Sedano

  9. Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Emilio Corchado

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Hurtik, P., Perfilieva, I. (2013). Image Compression Methodology Based on Fuzzy Transform. In: Herrero, Á., et al. International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions. Advances in Intelligent Systems and Computing, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33018-6_54

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  • DOI: https://doi.org/10.1007/978-3-642-33018-6_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33017-9

  • Online ISBN: 978-3-642-33018-6

  • eBook Packages: EngineeringEngineering (R0)

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