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Image Interpolation Using E-spline

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Contemporary Computing (IC3 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 168))

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Abstract

This paper introduces a new fast method for the calculation of exponential B-splines sample at regular intervals. This new method is fast and it also considered polynomial spline as special case. This algorithm is based on a combination of FIR and IIR filters which enables a fast decomposition and reconstruction of a signal. In this paper we have tried to get the interpolation function which uses the symmetric exponential functions of 4th order. We are considering the real part of these functions which is used for interpolation of real signals corresponding to different exponential parameter that leads to less band limited signals when they are compared with polynomial B-spline counterparts. These characteristics were verified with 1-D and 2-D examples. We are also going through all the interpolation methods which are already in use.

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Author information

Authors and Affiliations

  1. Radha Raman Institute of Technology & Science, Bhopal, India

    Ram Bichar Singh

  2. Skyline Institute of Engg & Technology, Gr.Noida, U.P, India

    Kiran Singh, Kumud Yadav & Amrita Bhatnagar

Authors
  1. Ram Bichar Singh
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  2. Kiran Singh
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  3. Kumud Yadav
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  4. Amrita Bhatnagar
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Editor information

Editors and Affiliations

  1. Iowa State University and IIT Bombay, India, 329 Durham, Ames, IA 5001, Iowa, USA

    Srinivas Aluru

  2. Indian Statistical Institute, 203 B.T. Road, 700 108, Kolkata, West Bengal, India

    Sanghamitra Bandyopadhyay

  3. The Ohio State University, 3190 Graves Hall, 333 W 10th Ave, 43210, Columbus, OH, USA

    Umit V. Catalyurek

  4. Department of Computing Science, Chalmers University, Rännvagen 6B, 412 96, Göteborg, Sweden

    Devdatt P. Dubhashi

  5. Dept. of Electrical and Computer Engineering, Iowa State University, 329 Durham, IA 50011, Ames, USA

    Phillip H. Jones

  6. TASSL, Dept. of Electrical & Computer Engineering, Rutgers, The State University of New Jersey, Brett Road, NJ 08854-8058, Piscataway, USA

    Manish Parashar

  7. School of Computer Engineering, Nanyang Technological University, N4-02a-32 Nanyang Ave, 639798, Singapore

    Bertil Schmidt

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© 2011 Springer-Verlag Berlin Heidelberg

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Singh, R.B., Singh, K., Yadav, K., Bhatnagar, A. (2011). Image Interpolation Using E-spline. In: Aluru, S., et al. Contemporary Computing. IC3 2011. Communications in Computer and Information Science, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22606-9_53

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  • DOI: https://doi.org/10.1007/978-3-642-22606-9_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22605-2

  • Online ISBN: 978-3-642-22606-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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