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Edge-aware smoothing through adaptive interpolation

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Abstract

The goal of edge-aware filtering is to smooth out small-scale structures while preserving large object boundaries. A fundamental idea to design such filters is to avoid smoothing across strong edges. In this paper, we explore a new approach which iteratively adds the edge information back to a smoothed image. We study the smoothed image as the starting point of the iteration and the optimal stopping criterion. We demonstrate that in a wide range of applications the proposed technique can produce competitive results as those of state-of-the-art edge-aware filters. In particular, the proposed algorithm has the best performance in texture smoothing.

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Notes

  1. One of the reviewers of this paper pointed out this result.

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Authors and Affiliations

  1. Department of Electronic Engineering, La Trobe University, Bundoora, VIC, 3086, Australia

    Mukhalad Al-nasrawi, Guang Deng & Ba Thai

  2. Al-Musaib Technical College, Al-Furat Al-Awsat Technical University, Babylon, 51009, Iraq

    Mukhalad Al-nasrawi

Authors
  1. Mukhalad Al-nasrawi
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  2. Guang Deng
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  3. Ba Thai
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Correspondence to Mukhalad Al-nasrawi.

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Al-nasrawi, M., Deng, G. & Thai, B. Edge-aware smoothing through adaptive interpolation. SIViP 12, 347–354 (2018). https://doi.org/10.1007/s11760-017-1164-x

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  • DOI: https://doi.org/10.1007/s11760-017-1164-x

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