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International Conference on Multimedia and Network Information System

MISSI 2018: Multimedia and Network Information Systems pp 67–76Cite as

Linear Filtering of Blurry Photos

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 833))

Abstract

The paper considers the possibility of using linear two-dimensional filters to improve the sharpness of images. It is assumed that the point spread function (PSF) dissipates point in a circle of radius r. For given r, the linear filters are calculated to minimize the mean square error between the point image and the result of the convolution of the filter and the image of the blurred point. The results of filtration of Cameraman and Lena_color images previously dispersed using the assumed PSF are shown.

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Acknowledgments

This work was supported by statutory funds of the Department of Systems and Computer Networks, Wroclaw University of Science and Technology, grant No. 0401/0154/17.

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Authors and Affiliations

  1. Chair of Computer Systems and Networks, Wroclaw University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Jerzy Kisilewicz

Authors
  1. Jerzy Kisilewicz
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Correspondence to Jerzy Kisilewicz .

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Editors and Affiliations

  1. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Kazimierz Choroś

  2. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Marek Kopel

  3. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Elżbieta Kukla

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Siemiński

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Kisilewicz, J. (2019). Linear Filtering of Blurry Photos. In: Choroś, K., Kopel, M., Kukla, E., Siemiński, A. (eds) Multimedia and Network Information Systems. MISSI 2018. Advances in Intelligent Systems and Computing, vol 833. Springer, Cham. https://doi.org/10.1007/978-3-319-98678-4_9

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