• DocumentCode
    3673260
  • Title

    E-spline based image interpolators

  • Author

    M.F. Fahmy;G. Fahmy;O. M. Fahmy

  • Author_Institution
    Electrical Engineering Dept., Assiut University, Egypt
  • fYear
    2014
  • Firstpage
    61
  • Lastpage
    66
  • Abstract
    Exponential spline polynomials (E-splines) represent the best smooth transition between continuous and discrete domains. As they are constructed from convolution of exponential segments, there are many degrees of freedom to optimally choose the most convenient E-spline; suitable for a specific application. In this paper, the parameters of these E-splines are optimally chosen, to sharpen the performance of an interpolated high resolution systems HR derived from a given low resolution decimated one whether noisy or noiseless. The proposed technique is based on minimizing the aliasing effects due to the high frequency bands of the HR images. Illustrative examples are given to verify image enhancement of the proposed E-spline scheme, when compared with the existing approaches.
  • Keywords
    "Splines (mathematics)","Image resolution","Noise measurement","Frequency-domain analysis","Polynomials","Biomedical imaging","Laplace equations"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2014 IEEE International Symposium on
  • ISSN
    2162-7843
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2014.7300564
  • Filename
    7300564