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Image Contrast Enhancement Based on Laplacian-of-Gaussian Filter Combined with Morphological Reconstruction

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Progress in Computer Recognition Systems (CORES 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 977))

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Abstract

In the paper, a method of contrast enhancement is presented. It combines linear and non-linear techniques. A non-linear approach based on morphological reconstruction is applied to select essential regions on the of Laplacian-of-Gaussian (LoG) of the input. The morphologically modified result of LoG is next added to the initial image. Thanks to the morphological processing, only the meaningful region boundaries are used to enhance the image contrast. The usage of morphological processing allows for selecting more precisely the image regions that are subject to contrast enhancement. The method performs well on textured images, allowing for adjusting the level of visible details in the output image while increasing the sharpness of meaningful image regions. A couple of examples illustrates the performance of the proposed method.

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Notes

  1. 1.

    Formally saying, the reconstruction applied in the proposed method is the reconstruction by dilation. For the sake of clarity, since the reconstruction by erosion is not used here, the ‘by dilation’ words are omitted here.

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Author information

Authors and Affiliations

  1. Institute of Control and Industrial Electronics, Warsaw University of Technology, ul.Koszykowa 75, 00-662, Warsaw, Poland

    Marcin Iwanowski

Authors
  1. Marcin Iwanowski
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Correspondence to Marcin Iwanowski .

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Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Science and Technology, Wrocław, Poland

    Robert Burduk

  2. Faculty of Electronics, Wroclaw University of Science and Technology, Wrocław, Poland

    Marek Kurzynski

  3. Faculty of Electronics, Wroclaw University of Science and Technology, Wrocław, Poland

    Michał Wozniak

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Iwanowski, M. (2020). Image Contrast Enhancement Based on Laplacian-of-Gaussian Filter Combined with Morphological Reconstruction. In: Burduk, R., Kurzynski, M., Wozniak, M. (eds) Progress in Computer Recognition Systems. CORES 2019. Advances in Intelligent Systems and Computing, vol 977. Springer, Cham. https://doi.org/10.1007/978-3-030-19738-4_31

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