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Image Super Resolution Using Wavelet Transformation and Swarm Optimization Algorithm

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Intelligent Human Systems Integration (IHSI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 722))

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Abstract

Super resolution is a process of getting high resolution image from more than one low resolution images. Because of its qualitative approach many branches of science and engineering have opted the method for use it in several applications. In this paper we have used the Wavelet Transformation with Swarm Optimization Algorithm and got better optimum super resolution image as compared to our previous work where we used a combination of Wavelet Transformation followed by Genetic Algorithm.

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Authors and Affiliations

  1. BVC Engineering College, JNTUK, Kakinada, Andhra Pradesh, India

    Gunamani Jena, Bonam Venkata Rajesh & Subhashish Jena

  2. Sir C R Reddy College of Engineering, Eluru, Andhra Pradesh, India

    Sudam Sekhar Panda

Authors
  1. Gunamani Jena
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  2. Sudam Sekhar Panda
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  3. Bonam Venkata Rajesh
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  4. Subhashish Jena
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Corresponding author

Correspondence to Gunamani Jena .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Waldemar Karwowski

  2. University of Central Florida, Orlando, Florida, USA

    Tareq Ahram

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Jena, G., Panda, S.S., Rajesh, B.V., Jena, S. (2018). Image Super Resolution Using Wavelet Transformation and Swarm Optimization Algorithm. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration. IHSI 2018. Advances in Intelligent Systems and Computing, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-73888-8_69

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  • DOI: https://doi.org/10.1007/978-3-319-73888-8_69

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73887-1

  • Online ISBN: 978-3-319-73888-8

  • eBook Packages: EngineeringEngineering (R0)

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