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Blurred image restoration using knife-edge function and optimal window Wiener filtering

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  • Min Wang
  • Shudao Zhou
  • Wei Yan

Abstract

Motion blur in images is usually modeled as the convolution of a point spread function (PSF) and the original image represented as pixel intensities. The knife-edge function can be used to model various types of motion-blurs, and hence it allows for the construction of a PSF and accurate estimation of the degradation function without knowledge of the specific degradation model. This paper addresses the problem of image restoration using a knife-edge function and optimal window Wiener filtering. In the proposed method, we first calculate the motion-blur parameters and construct the optimal window. Then, we use the detected knife-edge function to obtain the system degradation function. Finally, we perform Wiener filtering to obtain the restored image. Experiments show that the restored image has improved resolution and contrast parameters with clear details and no discernible ringing effects.

Suggested Citation

  • Min Wang & Shudao Zhou & Wei Yan, 2018. "Blurred image restoration using knife-edge function and optimal window Wiener filtering," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-11, January.
    • Handle: RePEc:plo:pone00:0191833
    DOI: 10.1371/journal.pone.0191833
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    References listed on IDEAS

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    1. Gazzola, Silvia & Karapiperi, Anna, 2016. "Image reconstruction and restoration using the simplified topological ε-algorithm," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 539-555.
    2. Asmat Ullah & Wen Chen & Mushtaq Ahmad Khan & HongGuang Sun, 2017. "A New Variational Approach for Multiplicative Noise and Blur Removal," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-26, January.
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    Cited by:

    1. Wei Zhou & Xingxing Hao & Kaidi Wang & Zhenyang Zhang & Yongxiang Yu & Haonan Su & Kang Li & Xin Cao & Arjan Kuijper, 2020. "Improved estimation of motion blur parameters for restoration from a single image," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-21, September.

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