“Enhancement of CT Images for Visualization” by Mehmood, Khan, Dawood and Dawood

  • ©Anam Mehmood, Ishtiaq Rasool Khan, Hassan Dawood, and Hussain Dawood



Entry Number: 83


    Enhancement of CT Images for Visualization



    Modern medical science strongly depends on imaging technologies for accurate diagnose and treatment planning. Raw medical images generally require post-processing – like edge and contrast enhancement, and noise removal – for visualization. In this paper, a clustering-based contrast enhancement technique is presented for computed tomography (CT) images.


    F. Kallel and A.B. Hamida. 2017. A New Adaptive Gamma Correction
    Based Algorithm Using DWT-SVD for Non-Contrast CT Image
    Enhancement. IEEE transactions on nanobioscience, 16(8), pp.666-
    D. J. Vincent, and A.M. Reshin. 2018. Edge Enhancement and Noise
    Smoothening of CT Images with Anisotropic Diffusion Filter and
    Unsharp Masking. In 2018 IEEE Recent Advances in Intelligent
    Computational Systems (RAICS) pp. 55-59.
    Q. Shan, J. Jia, and M. S. Brown. 2010. Globally optimized linear
    windowed tone mapping. IEEE transactions on visualization and
    computer graphics, 16(4), pp.663-675.
    Z. Liang, J. Xu, Zhang, Cao, Z. D. and L. Zhang, 2018. A hybrid l1-l0
    layer decomposition model for tone mapping. In Proceedings of the
    IEEE conference on computer vision and pattern recognition. pp.
    E. Reinhard and K. Devlin. 2005. Dynamic range reduction inspired by
    photoreceptor physiology. IEEE transactions on visualization and
    computer graphics, 11(1), pp.13-24.
    Z. Al-Ameen, G. Sulong and, M.G.M. Johar, 2012. Enhancing the

    contrast of CT medical images by employing a novel image size
    dependent normalization technique. International journal of Bio-science and bio-technology, 4(3), pp.63-68.
    S. Gandhamal., S. Talbar, Gajre, A.F.M. Hani and D. Kumar, 2017.
    Local gray level S-curve transformation–a generalized contrast
    enhancement technique for medical images. Computers in biology
    and medicine, 83, pp.120-133.



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