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Discrete Wavelet Transforms for PET Image Reduction/Expansion (wavREPro)

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Soft Computing Applications (SOFA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 633))

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Abstract

The large volume of medical images remains a major problem for their archiving and transmission. In this context, we propose a novel protocol wavREPro that aims to minimize the image size before its storage and then to enlarge it at reception. This process has been achieved by exploiting the Discrete Wavelet Transforms (DWT) namely Haar, Le Gall (5/3) and Daubechies (9/7) wavelets. These tools represent the image in the multi-resolution domain that follows the human psycho-visual system. Therefore, the reduced image is none other than the approximation of the image. Its magnification is carried out by either cancelling the details (wavREProZ) or estimating them (wavREProED) using the DWT\(^{-1}\) on the reduced image. Our experiments have been conducted on a PET (Positron Emission Tomography) medical image database and the results have been presented for the three well-known color spaces RGB, HSV and YCbCr. The reported results have promoted the wavREProZ application with the Haar wavelets on RGB images since it achieved maximum fidelity between the original and reduced then enlarged images. The good performance of this approach encourages its adoption to display images on screens having different sizes.

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Authors and Affiliations

  1. Research Unit: Sciences and Technologies of Image and Telecommunications, Higher Institute of Biotechnology, University of Sfax, Sfax, Tunisia

    Hedi Amri, Malek Gargouri, Med Karim Abdmouleh, Ali Khalfallah & Med Salim Bouhlel

  2. LIRIS Laboratory, UMR 5205 CNRS Central School of Lyon, University of Lyon, 36, av Guy de Collongue, 69134, Lyon-Ecully Cedex, France

    Bertrand David

Authors
  1. Hedi Amri
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  2. Malek Gargouri
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  3. Med Karim Abdmouleh
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  4. Ali Khalfallah
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  5. Bertrand David
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  6. Med Salim Bouhlel
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Correspondence to Hedi Amri .

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Editors and Affiliations

  1. Department of Automatics and Applied Informatics, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. University of Canberra, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

  3. Department of Automatics and Applied Informatics, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Marius Mircea Balas

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Amri, H., Gargouri, M., Abdmouleh, M.K., Khalfallah, A., David, B., Bouhlel, M.S. (2018). Discrete Wavelet Transforms for PET Image Reduction/Expansion (wavREPro). In: Balas, V., Jain, L., Balas, M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-319-62521-8_45

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  • DOI: https://doi.org/10.1007/978-3-319-62521-8_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62520-1

  • Online ISBN: 978-3-319-62521-8

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