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Blind Image Deblurring Using A Single-Image Source: The State Of The Art

Author

Listed:
  • Mihai Zaharescu

    (Politehnica University of Bucharest, Bucharest, Romania)

  • Costin-Anton Boiangiu

    (Politehnica University of Bucharest, Bucharest, Romania)

  • Ion Bucur

    (Politehnica University of Bucharest, Bucharest, Romania)

Abstract

The problem of accidental corruption and restoration of altered or damaged signals from intentional tampering was long-studied. Image deblurring is an example of signal restoration: the recovery of an approximate of the original image, which was convolved with a point spread function and altered by additive noise. This work is an introduction in the deblurring domain, is meant to offer some definitions and proposes an analysis of the existing methods for deducing the point spread function from a blurred image. One of the methods has a big importance for the second part of the paper: the cepstral domain, through which only close to rectilinear kernels can be recovered at the moment. We will point that cepstrum analysis is at least as powerful as other methods.

Suggested Citation

  • Mihai Zaharescu & Costin-Anton Boiangiu & Ion Bucur, 2017. "Blind Image Deblurring Using A Single-Image Source: The State Of The Art," Journal of Information Systems & Operations Management, Romanian-American University, vol. 11(1), pages 17-28, May.
    • Handle: RePEc:rau:jisomg:v:11:y:2017:i:1:p:17-28
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/SU17/JISOM-SU17-A02.pdf
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    Cited by:

    1. Mihai Zaharescu & Costin-Anton Boiangiu, 2019. "General Psf Retrieval And Image Deblurring Using The Cepstral Domain," Journal of Information Systems & Operations Management, Romanian-American University, vol. 13(1), pages 85-96, May.

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