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Automatic Contrast Parameter Estimation in Anisotropic Diffusion for Image Restoration

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Analysis of Images, Social Networks and Texts (AIST 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 436))

Abstract

Anisotropic diffusion is used widely in image processing for edge preserving filtering and image smoothing tasks. One of the important class of such model is by Perona and Malik (PM) who used a gradient based diffusion to drive smoothing along edges and not across it. The contrast parameter used in the PM method needs to be carefully chosen to obtain optimal denoising results. Here we consider a local histogram based cumulative distribution approach for selecting this parameter in a data adaptive way so as to avoid manual tuning. We use spatial smoothing based diffusion coefficient along with adaptive contrast parameter estimation for obtaining better edge maps. Moreover, experimental results indicate that this adaptive scheme performs well for a variety of noisy images and comparison results indicate we obtain better peak signal to noise ratio and structural similarity scores with respect to fixed constant parameter values.

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Authors and Affiliations

  1. University of Missouri, Columbia, MO, 65211, USA

    V. B. Surya Prasath

  2. Informatik 5, KBSG, RWTH Aachen, Aachen, Germany

    Radhakrishnan Delhibabu

Authors
  1. V. B. Surya Prasath
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  2. Radhakrishnan Delhibabu
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Corresponding author

Correspondence to V. B. Surya Prasath .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  2. Krasovsky Inst. of Math. and Mechanics, Yekaterinburg, Russia

    Mikhail Yu. Khachay

  3. Université catholique de Louvain, Moscow, Russia

    Alexander Panchenko

  4. University of Wolverhampton, Wolverhampton, United Kingdom

    Natalia Konstantinova

  5. National Research University, Moscow, Russia

    Rostislav E. Yavorsky

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© 2014 Springer International Publishing Switzerland

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Surya Prasath, V.B., Delhibabu, R. (2014). Automatic Contrast Parameter Estimation in Anisotropic Diffusion for Image Restoration. In: Ignatov, D., Khachay, M., Panchenko, A., Konstantinova, N., Yavorsky, R. (eds) Analysis of Images, Social Networks and Texts. AIST 2014. Communications in Computer and Information Science, vol 436. Springer, Cham. https://doi.org/10.1007/978-3-319-12580-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-12580-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12579-4

  • Online ISBN: 978-3-319-12580-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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