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Image Zooming: Use of Wavelets

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Book cover Super-Resolution Imaging

Part of the book series: The International Series in Engineering and Computer Science ((SECS,volume 632))

Abstract

Here we propose a method to zoom a given image in wavelet domain. We use ideas from multiresolution analysis and zerotree philosophy for image zooming. Wavelet coefficient decay across scales is calculated to estimate wavelet coefficients at finer level. Since this amounts to adding high frequency component, proposed method does not suffer from smoothing effects. Zoomed images are (a) sharper compared to linear interpolation, and (b) less blocky compared to pixel replication. Performance is measured by calculating signal to noise ratio (SNR), and the proposed method gives much better SNR compared to other methods.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communications, SJ College of Engineering, Mysore, 570 006, India

    Narasimha Kaulgud

  2. Department of Electrical Engineering, Indian Institute of Technology, Bombay Mumbai, 400 076, India

    U. B. Desai

Authors
  1. Narasimha Kaulgud
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  2. U. B. Desai
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology - Bombay, Mumbai, India, 400 076

    Subhasis Chaudhuri

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© 2002 Kluwer Academic Publishers

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Kaulgud, N., Desai, U.B. (2002). Image Zooming: Use of Wavelets. In: Chaudhuri, S. (eds) Super-Resolution Imaging. The International Series in Engineering and Computer Science, vol 632. Springer, Boston, MA. https://doi.org/10.1007/0-306-47004-7_2

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  • DOI: https://doi.org/10.1007/0-306-47004-7_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-7471-8

  • Online ISBN: 978-0-306-47004-2

  • eBook Packages: Springer Book Archive

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