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Image enhancement by non-iterative grid warping

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Abstract

A method to improve the results of image enhancement is proposed. The idea of the method is to warp pixel grid by moving pixels towards the nearest image edges. It makes edges sharper while keeping textured areas almost intact. Experimental applications of the proposed method for image enhancement algorithms show the improvement of image quality.

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Authors and Affiliations

  1. Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Leninskie gory, Moscow, 119991, Russia

    A. S. Krylov, A. V. Nasonova & A. A. Nasonov

Authors
  1. A. S. Krylov
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  2. A. V. Nasonova
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  3. A. A. Nasonov
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Corresponding author

Correspondence to A. S. Krylov.

Additional information

This paper uses the materials of the report submitted at the 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, held in Koblenz, December 1–5, 2014 (OGRW-9-2014).

The article is published in the original.

Andrei Serdzhevich Krylov (born 1956), graduated from the Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University (MSU) in 1978. Received the PhD degree in 1983, the Dr.Sc. degree in 2009. He is a professor and the head of the Laboratory of Mathematical Methods of Image Processing at the Faculty of Computational Mathematics and Cybernetics, MSU. His main research interests lie in mathematical methods of multimedia data processing and analysis.

Aleksandra Andreevna Nasonova (born 1989), graduated from the Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University (MSU) in 2011. Received the PhD degree in 2014. Currently a mathematician at the Department of Mathematical Physics of the Faculty of Computational Mathematics and Cybernetics, MSU. Her main research interests lie in mathematical methods of image processing.

Andrei Vladimirovich Nasonov (born 1985), graduated from the Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University (MSU) in 2007. Received PhD degree in 2011. Currently a senior researcher of the Laboratory of Mathematical Methods of Image Processing of the Faculty of Computational Mathematics and Cybernetics, MSU. His main research interests lie in variational methods of image processing, inverse and illposed problems.

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Krylov, A.S., Nasonova, A.V. & Nasonov, A.A. Image enhancement by non-iterative grid warping. Pattern Recognit. Image Anal. 26, 161–164 (2016). https://doi.org/10.1134/S1054661816010132

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  • DOI: https://doi.org/10.1134/S1054661816010132

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